docs(website): v0.7.0 更新日志补入 Kimi Eyes 插件站链接

- 订阅套餐零价条目按官方付费模型计价（zhipuai-coding-plan/glm-5.2 → zhipuai/glm-5.2 牌价）
- -highspeed / -free 派生变体自动回退到基础模型价格；Kimi For Coding 无牌价时按旗舰 kimi-k3 估算
- 设置页：image_in 识图能力可手动编辑，原生多模态模型不再提示 kimi-eyes 插件
- 修复仅单个套餐档位时用量卡片不显示的问题
- kimi usages 响应异常时透出原始返回（仅用量数字），便于对照接口排查
- models.dev 价格快照同步

.github/workflows/release.yml

@@ -87,4 +87,5 @@ jobs:
 
             Full changelog: see commit history.
           prerelease: ${{ contains(github.ref_name, '-rc') || contains(github.ref_name, '-beta') || contains(github.ref_name, '-alpha') }}
+          overwrite: true
           args: ${{ matrix.args }}

package.json

@@ -1,7 +1,7 @@
 {
   "name": "kimiswitch",
   "private": true,
-  "version": "0.6.8",
+  "version": "0.7.0",
   "type": "module",
   "scripts": {
     "dev": "vite",

src-tauri/Cargo.lock

@@ -1958,7 +1958,7 @@ dependencies = [
 
 [[package]]
 name = "kimiswitch"
-version = "0.6.8"
+version = "0.7.0"
 dependencies = [
  "anyhow",
  "chrono",

src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "kimiswitch"
-version = "0.6.8"
+version = "0.7.0"
 description = "Kimi Switch - model config manager"
 authors = ["you"]
 edition = "2021"

src-tauri/src/dashboard.rs

@@ -590,6 +590,20 @@ fn models_dev_lookup(model_name: &str) -> Option<(String, ModelsDevCost)> {
     Some((key.clone(), *cost))
 }
 
+/// Strip a trailing derived-variant suffix ("-highspeed", "-free") from a
+/// model id: plan endpoints expose e.g. `glm-5.2-highspeed`, which bills at
+/// the base model's price.
+fn strip_variant_suffix(model_name: &str) -> Option<String> {
+    for suffix in ["-highspeed", "-free"] {
+        if let Some(base) = model_name.strip_suffix(suffix) {
+            if !base.is_empty() {
+                return Some(base.to_string());
+            }
+        }
+    }
+    None
+}
+
 /// Strip a trailing context-size suffix ("-256k", "-128k", "-1m") from a model
 /// id: context variants like "k3-256k" bill at the base model's ("k3") price.
 /// Returns the stripped id (provider prefix preserved), or None when there is
@@ -610,7 +624,62 @@ fn strip_context_suffix(model_name: &str) -> Option<String> {
     })
 }
 
+/// Memoized price resolution. `match_price` is called once per usage record
+/// during the scan, and the models.dev suffix scan is O(5910) per miss — with
+/// thousands of records sharing a handful of model names, memoizing the result
+/// turns the whole scan from O(records × 5910) into O(unique_models × 5910).
+static MATCH_PRICE_MEMO: OnceLock<Mutex<HashMap<String, (String, f64, f64, f64, bool)>>> =
+    OnceLock::new();
+
+/// Resolve a model's price, caching per-model results (hits and misses).
 fn match_price(model_name: &str) -> (String, f64, f64, f64, bool) {
+    let key = model_name.to_ascii_lowercase();
+    let memo = MATCH_PRICE_MEMO.get_or_init(|| Mutex::new(HashMap::new()));
+    if let Some(hit) = memo.lock().unwrap().get(&key) {
+        return hit.clone();
+    }
+    let result = match_price_inner(model_name);
+    memo.lock().unwrap().insert(key, result.clone());
+    result
+}
+
+/// Suffix-match a model against the models.dev index, skipping zero-priced
+/// (subscription-plan) listings so a paid official entry wins. Used as the
+/// fallback when the exact hit resolves to a zero-cost plan entry such as
+/// `zhipuai-coding-plan/glm-5.2` or `kimi-for-coding/kimi-for-coding`.
+fn priced_suffix_lookup(model_name: &str) -> Option<(String, ModelsDevCost)> {
+    let bare = model_name.rsplit_once('/').map(|(_, b)| b).unwrap_or(model_name);
+    let bare_l = bare.to_ascii_lowercase();
+    let mut matches: Vec<(&String, &ModelsDevCost)> = models_dev_cost_index()
+        .iter()
+        .filter(|(key, cost)| {
+            (cost.input > 0.0 || cost.output > 0.0)
+                && key
+                    .rsplit_once('/')
+                    .map(|(_, model)| model.ends_with(&bare_l))
+                    .unwrap_or(false)
+        })
+        .collect();
+    if matches.is_empty() {
+        return None;
+    }
+    matches.sort_by(|(a, _), (b, _)| {
+        provider_rank(a)
+            .cmp(&provider_rank(b))
+            .then_with(|| a.cmp(b))
+    });
+    let (key, cost) = matches[0];
+    Some((key.clone(), *cost))
+}
+
+/// Subscription-plan models without any priced counterpart in the snapshot
+/// (e.g. the "Kimi For Coding" plan endpoint has no per-token price) bill at
+/// the flagship model of the same family for cost estimation.
+const PLAN_MODEL_FALLBACK: &[(&str, &str)] = &[
+    ("kimi-for-coding", "moonshotai/kimi-k3"),
+];
+
+fn match_price_inner(model_name: &str) -> (String, f64, f64, f64, bool) {
     let bare = match model_name.rsplit_once('/') {
         Some((_, b)) => b,
         None => model_name,
@@ -621,11 +690,30 @@ fn match_price(model_name: &str) -> (String, f64, f64, f64, bool) {
             return (id, c.cache_read, c.input, c.output, false);
         }
         // Zero-priced listing (subscription-plan entries such as
-        // kimi-for-coding/k3-256k): bill at the base model's list price.
-        if let Some(base) = strip_context_suffix(model_name) {
-            if let Some((base_id, base_c)) = models_dev_lookup(&base) {
-                if base_c.input > 0.0 || base_c.output > 0.0 {
-                    return (base_id, base_c.cache_read, base_c.input, base_c.output, false);
+        // zhipuai-coding-plan/glm-5.2 or kimi-for-coding/kimi-for-coding):
+        // bill at a priced equivalent — the full id first, then derived
+        // variants (-highspeed / -free), then the context-size base, then the
+        // curated flagship fallback.
+        for base in [
+            Some(model_name.to_string()),
+            strip_variant_suffix(model_name),
+            strip_context_suffix(model_name),
+        ]
+        .into_iter()
+        .flatten()
+        {
+            if let Some((bid, bc)) = priced_suffix_lookup(&base) {
+                if bc.input > 0.0 || bc.output > 0.0 {
+                    return (bid, bc.cache_read, bc.input, bc.output, false);
+                }
+            }
+        }
+        let bare = model_name.rsplit_once('/').map(|(_, b)| b).unwrap_or(model_name);
+        let bare_l = bare.to_ascii_lowercase();
+        for (plan, flagship) in PLAN_MODEL_FALLBACK {
+            if bare_l.contains(plan) {
+                if let Some((fid, fc)) = models_dev_lookup(flagship) {
+                    return (fid, fc.cache_read, fc.input, fc.output, false);
                 }
             }
         }
@@ -1537,6 +1625,7 @@ pub fn get_prices() -> PricesResult {
 
 #[tauri::command]
 pub fn get_summary(home_override: Option<String>, range: Option<String>, refresh: Option<bool>) -> SummaryResult {
+    let t0 = std::time::Instant::now();
     let refresh = refresh.unwrap_or(false);
     let home = resolve_kimi_home(home_override);
     let now_ms = std::time::SystemTime::now()
@@ -1544,6 +1633,7 @@ pub fn get_summary(home_override: Option<String>, range: Option<String>, refresh
     let r = range.unwrap_or_else(|| "30d".into());
 
     let (records, meta) = scan_usage_cached(&home, refresh);
+    let t1 = std::time::Instant::now();
     let stats = aggregate(&records, &r, now_ms);
     let all_stats = aggregate(&records, "all", now_ms);
     let heatmap = build_heatmap(&records, now_ms);
@@ -1568,6 +1658,15 @@ pub fn get_summary(home_override: Option<String>, range: Option<String>, refresh
         name, provider: std::env::var("KIMI_MODEL_PROVIDER").ok(), model: std::env::var("KIMI_MODEL_ID").ok(),
     });
 
+    let t2 = std::time::Instant::now();
+    let scan_ms = t1.duration_since(t0).as_secs_f64() * 1000.0;
+    let aggregate_ms = t2.duration_since(t1).as_secs_f64() * 1000.0;
+    let total_ms = t2.duration_since(t0).as_secs_f64() * 1000.0;
+    eprintln!(
+        "[dashboard] get_summary range={} records={} scan={:.0}ms aggregate={:.0}ms total={:.0}ms",
+        r, records.len(), scan_ms, aggregate_ms, total_ms
+    );
+
     SummaryResult {
         home: home.to_string_lossy().to_string(),
         valid: is_kimi_home(&home),
@@ -1687,6 +1786,35 @@ mod pricing_tests {
         assert_eq!(strip_context_suffix("kimi-k2-thinking"), None);
     }
 
+    #[test]
+    fn subscription_plan_models_bill_at_priced_equivalent() {
+        // zhipuai-coding-plan/glm-5.2 is a zero-cost plan entry; the priced
+        // official zhipuai/glm-5.2 must win.
+        let (id, ch, input, output, est) = match_price("zhipuai-coding-plan/glm-5.2");
+        assert!(!est);
+        assert_eq!(id, "zhipuai/glm-5.2");
+        assert_eq!(input, 1.4);
+        assert_eq!(output, 4.4);
+        assert_eq!(ch, 0.26);
+
+        // Kimi For Coding has no priced counterpart at all → curated flagship.
+        let (id, _, input, _, est) = match_price("kimi-code/kimi-for-coding");
+        assert!(!est);
+        assert_eq!(id, "moonshotai/kimi-k3");
+        assert_eq!(input, 3.0);
+
+        // -highspeed variants strip back to the priced base model.
+        let (id, _, input, _, est) = match_price("zhipuai-coding-plan/glm-5.2-highspeed");
+        assert!(!est);
+        assert_eq!(id, "zhipuai/glm-5.2");
+        assert_eq!(input, 1.4);
+        assert_eq!(
+            strip_variant_suffix("glm-5.2-highspeed").as_deref(),
+            Some("glm-5.2")
+        );
+        assert_eq!(strip_variant_suffix("glm-5.2"), None);
+    }
+
     #[test]
     fn cache_write_price_preferred_when_present() {
         // glm-4.6 has cache_write: 0 → cache creation billed at 0, not input.

src-tauri/src/services/coding_plan.rs

@@ -79,7 +79,20 @@ pub async fn query_kimi_coding(api_key: &str, timeout: Duration) -> Result<Usage
     )
     .await?
     {
-        Fetched::Body(body) => Ok(UsageResult::ok(parse_kimi_coding(&body))),
+        Fetched::Body(body) => {
+            let tiers = parse_kimi_coding(&body);
+            if tiers.is_empty() {
+                // 响应里没有可解析的套餐档位（limits/usage 缺失或字段变了）。
+                // 把原始响应（仅用量数字，无密钥）透出，方便对照接口结构修复。
+                let preview = serde_json::to_string(&body)
+                    .unwrap_or_else(|_| "<unserializable body>".into());
+                let trimmed: String = preview.chars().take(400).collect();
+                return Ok(UsageResult::failure(format!(
+                    "kimi usages 响应无套餐数据，原始返回: {trimmed}"
+                )));
+            }
+            Ok(UsageResult::ok(tiers))
+        }
         Fetched::Failed(err) => Ok(err),
     }
 }

src-tauri/tauri.conf.json

@@ -1,6 +1,6 @@
 {
   "productName": "Kimi Switch",
-  "version": "0.6.8",
+  "version": "0.7.0",
   "identifier": "com.kimiswitch.app",
   "build": {
     "beforeDevCommand": "npm run dev",

src/components/ProviderEdit.tsx

@@ -699,6 +699,7 @@ function ModelMapping({
                   <td className="px-4 py-2">
                     <CapabilitiesCell
                       capabilities={m.capabilities || []}
+                      nativeImage={getModelRef(m.model)?.image === true}
                       onChange={(next) =>
                         onModelChange({ ...m, capabilities: next })
                       }
@@ -822,9 +823,13 @@ function JsonPreview({
 function CapabilitiesCell({
   capabilities,
   onChange,
+  nativeImage,
 }: {
   capabilities: string[];
   onChange: (next: string[]) => void;
+  /** 模型本身是否原生支持图像输入（models.dev `image` 能力）。原生多模态
+   *  模型无需 kimi-eyes 插件，提示不展示。 */
+  nativeImage?: boolean;
 }) {
   const { t } = useTranslation();
 
@@ -838,13 +843,12 @@ function CapabilitiesCell({
 
   return (
     <div className="flex flex-wrap items-center gap-x-3 gap-y-1.5">
-      {/* Only `thinking` is user-editable. The other capabilities
-          (always_thinking / image_in / video_in / tool_use) are still
-          auto-derived from models.dev via `capabilitiesFromRef` and saved
-          to config.toml — they just aren't exposed for manual editing.
-          To restore the full editor, drop the `.filter(...)` below and
-          re-add the custom-capabilities input (see git history). */}
-      {KNOWN_CAPABILITIES.filter((cap) => cap === "thinking").map((cap) => (
+      {/* `thinking` 与 `image_in`（识图）可手动编辑；其余能力
+          (always_thinking / video_in / tool_use) 仍由 models.dev 自动派生，
+          保存时照常写入 config.toml。 */}
+      {KNOWN_CAPABILITIES.filter(
+        (cap) => cap === "thinking" || cap === "image_in",
+      ).map((cap) => (
         <label
           key={cap}
           className="flex items-center gap-1 text-xs text-content-muted cursor-pointer"
@@ -858,6 +862,11 @@ function CapabilitiesCell({
           {t(CAPABILITY_LABELS[cap])}
         </label>
       ))}
+      {capabilities.includes("image_in") && !nativeImage && (
+        <span className="w-full text-[11px] text-content-muted">
+          {t("capImageInHint")}
+        </span>
+      )}
     </div>
   );
 }

src/components/SettingsModal.tsx

@@ -372,6 +372,30 @@ export function SettingsModal({
               <div>{t("appDescription")}</div>
               <div className="text-xs text-content-muted">v{appVersion} · MIT License</div>
               <div className="pt-2 space-y-1">
+                <div>
+                  {t("settingsWebsite")}:{" "}
+                  <button
+                    type="button"
+                    onClick={() =>
+                      openExternal("https://billowliu2.github.io/KimiSwitch")
+                    }
+                    className="text-blue-500 hover:text-blue-400 underline bg-transparent p-0 border-0 cursor-pointer"
+                  >
+                    billowliu2.github.io/KimiSwitch
+                  </button>
+                </div>
+                <div>
+                  {t("kimiEyesSite")}:{" "}
+                  <button
+                    type="button"
+                    onClick={() =>
+                      openExternal("https://billowliu2.github.io/kimi-eyes")
+                    }
+                    className="text-blue-500 hover:text-blue-400 underline bg-transparent p-0 border-0 cursor-pointer"
+                  >
+                    billowliu2.github.io/kimi-eyes
+                  </button>
+                </div>
                 <div>
                   {t("attributionPorted")}{" "}
                   <button

src/components/UsageFooter.tsx

@@ -357,7 +357,9 @@ export function UsageFooter({
   // success, or error/loading with last-good data (ghost).
   // Compact header already shows the primary entry; detail only adds value
   // when there are multiple tiers (e.g. 5h + weekly) or on error ghost.
-  if (data.length <= 1 && status === "success") return null;
+  // NOTE: single-tier plans (e.g. only five_hour) must still render — hiding
+  // them made kimi-for-coding look like it had no plan quota at all.
+  if (data.length === 0 && status === "success") return null;
   const ghost = status !== "success";
   return (
     <div

src/components/dashboard/DailyBars.tsx

@@ -1,7 +1,8 @@
 import { useMemo, useState } from "react";
 import { createPortal } from "react-dom";
 import { useTranslation } from "../../i18n";
-import { fmtPct, fmtTokens, fmtUsd } from "../../lib/dashboard-format";
+import { useCurrency } from "../../hooks/useCurrency";
+import { fmtPct, fmtTokens } from "../../lib/dashboard-format";
 import type { DailyRow } from "../../types/dashboard";
 import { DailyDetailModal } from "./DailyDetailModal";
 
@@ -43,6 +44,7 @@ function shortModel(model: string): string {
 
 export function DailyBars({ daily, dimension, names, unknownProviderLabel }: DailyBarsProps) {
   const { t } = useTranslation();
+  const { money } = useCurrency();
   const [selected, setSelected] = useState<DailyRow | null>(null);
 
   const colorMap = useMemo(() => {
@@ -103,7 +105,7 @@ export function DailyBars({ daily, dimension, names, unknownProviderLabel }: Dai
 
           const tooltipLines = [
             d.date,
-            `${t("totalTokens")}: ${fmtTokens(d.totalTokens)} · ${fmtUsd(d.costUsd)} · ${t("colCacheHit")} ${fmtPct(d.cacheHitRate)}`,
+            `${t("totalTokens")}: ${fmtTokens(d.totalTokens)} · ${money(d.costUsd)} · ${t("colCacheHit")} ${fmtPct(d.cacheHitRate)}`,
             ...segments.map((s) => `${displayName(s.key)}: ${fmtTokens(s.tokens)}`),
             "",
             t("doubleClickHint"),

src/components/dashboard/DailyDetailModal.tsx

@@ -1,6 +1,7 @@
 import { useEffect } from "react";
 import { useTranslation } from "../../i18n";
-import { fmtPct, fmtTokens, fmtUsd } from "../../lib/dashboard-format";
+import { useCurrency } from "../../hooks/useCurrency";
+import { fmtPct, fmtTokens } from "../../lib/dashboard-format";
 import type { DailyRow } from "../../types/dashboard";
 import { modelColor } from "./DailyBars";
 
@@ -22,6 +23,7 @@ function shortModel(model: string): string {
 
 export function DailyDetailModal({ day, dimension, colorMap, unknownProviderLabel, onClose }: DailyDetailModalProps) {
   const { t } = useTranslation();
+  const { money } = useCurrency();
 
   useEffect(() => {
     const onKey = (e: KeyboardEvent) => {
@@ -106,7 +108,7 @@ export function DailyDetailModal({ day, dimension, colorMap, unknownProviderLabe
         {/* Day summary chips */}
         <div className="grid grid-cols-2 gap-2 px-5 py-3 sm:grid-cols-4">
           <SummaryChip label={t("totalTokens")} value={fmtTokens(day.totalTokens)} tone="default" />
-          <SummaryChip label={t("cost")} value={fmtUsd(day.costUsd)} tone="orange" />
+          <SummaryChip label={t("cost")} value={money(day.costUsd)} tone="orange" />
           <SummaryChip label={t("requests")} value={Math.round(day.requests).toLocaleString()} tone="blue" />
           <SummaryChip label={t("cacheHitRate")} value={fmtPct(day.cacheHitRate)} tone="green" />
         </div>

src/components/dashboard/DashboardPage.tsx

@@ -1,13 +1,20 @@
 import { useState, type ReactNode } from "react";
 import { useDashboard, type DashboardRange } from "../../hooks/useDashboard";
+import { useCurrency } from "../../hooks/useCurrency";
 import { useTranslation } from "../../i18n";
-import { fmtInt, fmtPct, fmtTime, fmtTokens, fmtUsd } from "../../lib/dashboard-format";
+import { fmtInt, fmtPct, fmtTime, fmtTokens } from "../../lib/dashboard-format";
 import { DailyBars } from "./DailyBars";
 import { Heatmap } from "./Heatmap";
 import { TrendLineChart } from "./TrendLineChart";
 
 const RANGES: DashboardRange[] = ["today", "7d", "30d", "all"];
 
+/** Per-request cache hit rate: cached tokens / total input tokens. */
+function cacheHitOf(r: { inputOther: number; inputCacheRead: number }): number {
+  const denom = r.inputOther + r.inputCacheRead;
+  return denom > 0 ? r.inputCacheRead / denom : 0;
+}
+
 function Card({
   title,
   subtitle,
@@ -44,7 +51,8 @@ function KpiCard({ label, value, sub }: { label: string; value: string; sub?: st
 
 export function DashboardPage() {
   const { t } = useTranslation();
-  const { range, changeRange, data, loading, error, refresh } = useDashboard();
+  const { money } = useCurrency();
+  const { range, changeRange, data, loading, error, refresh, loadStats } = useDashboard();
   const [showAllModels, setShowAllModels] = useState(false);
   const [recentPage, setRecentPage] = useState(1);
   const [trendTab, setTrendTab] = useState<"daily" | "model" | "provider">("daily");
@@ -120,28 +128,35 @@ export function DashboardPage() {
     { label: t("kpiCacheCreation"), value: fmtTokens(totals.inputCacheCreation), sub: fmtInt(totals.inputCacheCreation) },
     { label: t("kpiCacheHit"), value: fmtPct(totals.cacheHitRate) },
     { label: t("totalTokens"), value: fmtTokens(totals.totalTokens), sub: fmtInt(totals.totalTokens) },
-    { label: t("kpiCost"), value: fmtUsd(totals.costUsd) },
+    { label: t("kpiCost"), value: money(totals.costUsd) },
   ];
 
   return (
     <div className="h-full overflow-auto p-4 space-y-4">
       {/* Range tabs + refresh */}
       <div className="flex items-center justify-between">
-        <div className="flex items-center bg-input border border-border rounded p-0.5">
-          {RANGES.map((r) => (
-            <button
-              key={r}
-              type="button"
-              onClick={() => changeRange(r)}
-              className={`px-3 py-1 text-sm rounded transition-colors ${
-                range === r
-                  ? "bg-blue-600 text-white"
-                  : "text-content-muted hover:text-content-primary"
-              }`}
-            >
-              {RANGE_LABELS[r]}
-            </button>
-          ))}
+        <div className="flex items-center gap-3">
+          <div className="flex items-center bg-input border border-border rounded p-0.5">
+            {RANGES.map((r) => (
+              <button
+                key={r}
+                type="button"
+                onClick={() => changeRange(r)}
+                className={`px-3 py-1 text-sm rounded transition-colors ${
+                  range === r
+                    ? "bg-blue-600 text-white"
+                    : "text-content-muted hover:text-content-primary"
+                }`}
+              >
+                {RANGE_LABELS[r]}
+              </button>
+            ))}
+          </div>
+          {loadStats && !loading && (
+            <span className="hidden text-[10px] text-content-muted sm:inline">
+              {t("loadStats", { ms: loadStats.ms, kb: loadStats.kb })}
+            </span>
+          )}
         </div>
         <button
           type="button"
@@ -175,7 +190,7 @@ export function DashboardPage() {
                 {fmtTokens(tot.totalTokens)}
               </div>
               <div className="mt-1 text-[11px] text-content-muted">
-                {fmtInt(tot.requests)} {t("unitTimes")} · {fmtUsd(tot.costUsd)} · {fmtPct(tot.cacheHitRate)}
+                {fmtInt(tot.requests)} {t("unitTimes")} · {money(tot.costUsd)} · {fmtPct(tot.cacheHitRate)}
               </div>
             </button>
           );
@@ -305,7 +320,7 @@ export function DashboardPage() {
                       <td className="py-2 pr-3 text-right text-content-muted">{fmtInt(m.requests)}</td>
                       <td className="py-2 pr-3 text-right text-content-muted">{fmtTokens(m.totalTokens)}</td>
                       <td className="py-2 pr-3 text-right text-content-muted">{fmtPct(m.cacheHitRate)}</td>
-                      <td className="py-2 text-right text-orange-600 dark:text-orange-400">{fmtUsd(m.costUsd)}</td>
+                      <td className="py-2 text-right text-orange-600 dark:text-orange-400">{money(m.costUsd)}</td>
                     </tr>
                   ))}
                 </tbody>
@@ -346,6 +361,7 @@ export function DashboardPage() {
                     <th className="pb-2 pr-4 font-normal text-right">{t("colInput")}</th>
                     <th className="pb-2 pr-4 font-normal text-right">{t("colOutput")}</th>
                     <th className="pb-2 pr-4 font-normal text-right">{t("colCacheRead")}</th>
+                    <th className="pb-2 pr-4 font-normal text-right">{t("colCacheHit")}</th>
                     <th className="pb-2 font-normal text-right">{t("cost")}</th>
                   </tr>
                 </thead>
@@ -359,7 +375,8 @@ export function DashboardPage() {
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.inputOther)}</td>
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.output)}</td>
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.inputCacheRead)}</td>
-                      <td className="py-1.5 text-right text-orange-600 dark:text-orange-400">{fmtUsd(r.costUsd)}</td>
+                      <td className="py-1.5 pr-4 text-right text-content-muted">{fmtPct(cacheHitOf(r))}</td>
+                      <td className="py-1.5 text-right text-orange-600 dark:text-orange-400">{money(r.costUsd)}</td>
                     </tr>
                   ))}
                 </tbody>

src/components/dashboard/Heatmap.tsx

@@ -1,7 +1,8 @@
 import { useEffect, useMemo, useRef, useState, type MouseEvent } from "react";
 import { createPortal } from "react-dom";
 import { useTranslation } from "../../i18n";
-import { fmtPct, fmtTokens, fmtUsd } from "../../lib/dashboard-format";
+import { useCurrency } from "../../hooks/useCurrency";
+import { fmtPct, fmtTokens } from "../../lib/dashboard-format";
 import type { HeatmapCell, HeatmapData } from "../../types/dashboard";
 
 interface HeatmapProps {
@@ -220,6 +221,7 @@ export function Heatmap({ heatmap }: HeatmapProps) {
 
 function HeatmapTooltip({ state }: { state: HoverState }) {
   const { t } = useTranslation();
+  const { money } = useCurrency();
   const { cell, x, y } = state;
   // Position above the cursor with a small offset; flip below if too close to top.
   const offset = 14;
@@ -239,7 +241,7 @@ function HeatmapTooltip({ state }: { state: HoverState }) {
     >
       <div className="font-medium text-content-primary">{cell.date}</div>
       <div className="text-content-muted">
-        {fmtTokens(cell.totalTokens)} · {fmtUsd(cell.costUsd)} ·{" "}
+        {fmtTokens(cell.totalTokens)} · {money(cell.costUsd)} ·{" "}
         {fmtInt(cell.requests)} {t("requests")}
       </div>
       <div className="text-content-muted">

src/hooks/useCurrency.ts

@@ -0,0 +1,83 @@
+import { useCallback, useEffect, useState } from "react";
+import { useTranslation } from "../i18n";
+import { fmtUsd } from "../lib/dashboard-format";
+
+/**
+ * USD → CNY exchange rate for the dashboard.
+ * Chinese mode shows prices in CNY (latest available rate), English stays in
+ * USD. The rate is fetched once and cached in localStorage for 12h; any
+ * failure falls back to a conservative fixed rate so the UI never blocks.
+ */
+
+const FALLBACK_RATE = 7.2;
+const CACHE_KEY = "kimi-switch-cny-rate";
+const CACHE_TTL = 12 * 60 * 60 * 1000; // 12 hours
+
+function readCachedRate(): number | null {
+  try {
+    const raw = localStorage.getItem(CACHE_KEY);
+    if (!raw) return null;
+    const { ts, rate } = JSON.parse(raw) as { ts: number; rate: number };
+    if (Date.now() - ts > CACHE_TTL || !(rate > 1)) return null;
+    return rate;
+  } catch {
+    return null;
+  }
+}
+
+function writeCachedRate(rate: number) {
+  try {
+    localStorage.setItem(CACHE_KEY, JSON.stringify({ ts: Date.now(), rate }));
+  } catch {
+    /* ignore */
+  }
+}
+
+export function useCurrency() {
+  const { lang } = useTranslation();
+  const [rate, setRate] = useState<number | null>(null);
+
+  useEffect(() => {
+    let cancelled = false;
+    (async () => {
+      const cached = readCachedRate();
+      if (cached) {
+        setRate(cached);
+        return;
+      }
+      try {
+        const res = await fetch("https://open.er-api.com/v6/latest/USD");
+        if (res.ok) {
+          const data = (await res.json()) as { rates?: { CNY?: number } };
+          const cny = Number(data.rates?.CNY);
+          if (cny > 1) {
+            if (!cancelled) setRate(cny);
+            writeCachedRate(cny);
+            return;
+          }
+        }
+      } catch {
+        /* network blocked → fallback */
+      }
+      if (!cancelled) setRate(FALLBACK_RATE);
+    })();
+    return () => {
+      cancelled = true;
+    };
+  }, []);
+
+  /** Format a USD cost for display: CNY in Chinese mode, USD otherwise. */
+  const money = useCallback(
+    (usd: number): string => {
+      if (lang !== "zh") return fmtUsd(usd);
+      const v = (Number(usd) || 0) * (rate ?? FALLBACK_RATE);
+      if (v === 0) return "¥0.00";
+      if (v < 0.1) return "¥" + v.toFixed(3);
+      if (v < 1) return "¥" + v.toFixed(2);
+      return "¥" + v.toFixed(2);
+    },
+    [lang, rate],
+  );
+
+  return { money, cnyRate: rate ?? FALLBACK_RATE };
+}

src/hooks/useDashboard.ts

@@ -22,16 +22,23 @@ export function useDashboard() {
   const [data, setData] = useState<SummaryResult | null>(null);
   const [loading, setLoading] = useState(false);
   const [error, setError] = useState<string | null>(null);
+  /** Round-trip timing for the last get_summary call (user-perceived lag). */
+  const [loadStats, setLoadStats] = useState<{ ms: number; kb: number } | null>(null);
 
   const refresh = useCallback(async (force = false) => {
     setLoading(true);
     setError(null);
+    const start = performance.now();
     try {
       const result = await invoke<SummaryResult>("get_summary", {
         range,
         refresh: force,
       });
       setData(result);
+      setLoadStats({
+        ms: Math.round(performance.now() - start),
+        kb: Math.round(JSON.stringify(result).length / 1024),
+      });
     } catch (err) {
       const msg = err instanceof Error ? err.message : String(err);
       setError(msg);
@@ -53,5 +60,5 @@ export function useDashboard() {
     }
   }, []);
 
-  return { range, changeRange, data, loading, error, refresh };
+  return { range, changeRange, data, loading, error, refresh, loadStats };
 }

src/i18n/en.ts

@@ -163,6 +163,7 @@ export const enTranslations: Record<TranslationKey, string> = {
   capThinking: "Thinking",
   capAlwaysThinking: "Always Thinking",
   capImageIn: "Image Input",
+  capImageInHint: "Text models actually need the plugin-kimi-eyes:kimi-eyes plugin for image recognition",
   capVideoIn: "Video Input",
   capToolUse: "Tool Use",
   customCapabilities: "Other capabilities (comma-separated)",
@@ -197,6 +198,7 @@ export const enTranslations: Record<TranslationKey, string> = {
   scanning: "Scanning…",
   refresh: "Refresh",
   refreshing: "Refreshing…",
+  loadStats: "Loaded in {ms} ms · {kb} KB payload",
   refreshed: "Refreshed",
   cancel: "Cancel",
   confirmDeleteTitle: "Delete session forever?",
@@ -260,6 +262,8 @@ export const enTranslations: Record<TranslationKey, string> = {
   updateCheckFailed: "Update check failed",
   lastChecked: "Last checked",
   appDescription: "Windows desktop LLM provider config manager",
+  settingsWebsite: "Official website",
+  kimiEyesSite: "Kimi Eyes plugin site",
   referenceProject: "Reference project",
 
   // Validation errors

src/i18n/zh.ts

@@ -161,6 +161,7 @@ export const zhTranslations = {
   capThinking: "思考",
   capAlwaysThinking: "始终思考",
   capImageIn: "图像输入",
+  capImageInHint: "文本推理模型实际需要搭配 plugin-kimi-eyes:kimi-eyes 插件才能识图",
   capVideoIn: "视频输入",
   capToolUse: "工具调用",
   customCapabilities: "其他能力（逗号分隔）",
@@ -194,6 +195,7 @@ export const zhTranslations = {
   scanning: "扫描中…",
   refresh: "刷新",
   refreshing: "刷新中…",
+  loadStats: "加载 {ms} ms · 数据 {kb} KB",
   refreshed: "已刷新",
   cancel: "取消",
   confirmDeleteTitle: "永久删除会话？",
@@ -255,6 +257,8 @@ export const zhTranslations = {
   updateCheckFailed: "检查更新失败",
   lastChecked: "上次检查",
   appDescription: "Windows 桌面端 LLM 供应商配置管理器",
+  settingsWebsite: "官方网站",
+  kimiEyesSite: "Kimi Eyes 插件站",
   referenceProject: "引用项目",
 
   // Validation errors

src/lib/models-dev.json

@@ -1,5 +1,5 @@
 {
-  "last_updated": "2026-08-01",
+  "last_updated": "2026-08-02",
   "zhipuai/glm-5": {
     "name": "GLM-5",
     "context": 204800,
@@ -600,6 +600,18 @@
       "cache_read": 0.145
     }
   },
+  "fireworks-ai/accounts/fireworks/models/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.14,
+      "output": 0.28,
+      "cache_read": 0.028
+    }
+  },
   "fireworks-ai/accounts/fireworks/models/kimi-k2p7-code": {
     "name": "Kimi K2.7 Code",
     "context": 262000,
@@ -1320,6 +1332,21 @@
       "cache_write": 0.3
     }
   },
+  "crossmodel/gemini/gemini-3.5-flash-lite": {
+    "name": "Gemini 3.5 Flash Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.3,
+      "output": 2.5,
+      "cache_read": 0.03,
+      "cache_write": 0.3
+    }
+  },
   "crossmodel/gemini/gemini-3-flash-preview": {
     "name": "Gemini 3 Flash Preview",
     "context": 1048576,
@@ -3884,6 +3911,19 @@
       "cache_read": 0.12
     }
   },
+  "baseten/thinkingmachines/inkling-small": {
+    "name": "Inkling Small",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.5,
+      "output": 1.2,
+      "cache_read": 0.1
+    }
+  },
   "baseten/thinkingmachines/inkling": {
     "name": "Inkling",
     "context": 1048576,
@@ -3966,6 +4006,18 @@
       "output": 1.2
     }
   },
+  "baseten/deepseek-ai/DeepSeek-V4-Flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.13,
+      "output": 0.26,
+      "cache_read": 0.028
+    }
+  },
   "baseten/deepseek-ai/DeepSeek-V3.1": {
     "name": "DeepSeek V3.1",
     "context": 164000,
@@ -6220,7 +6272,7 @@
       "cache_write": 0
     }
   },
-  "zhipuai-coding-plan/glm-5.2-highspeed[1m]": {
+  "zhipuai-coding-plan/glm-5.2-highspeed": {
     "name": "GLM-5.2 Highspeed",
     "context": 1000000,
     "reasoning": true,
@@ -13610,6 +13662,8 @@
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
+    "image": true,
+    "video": true,
     "cost": {
       "input": 0,
       "output": 0
@@ -13674,7 +13728,8 @@
     "structured_output": true,
     "cost": {
       "input": 5,
-      "output": 5
+      "output": 5,
+      "cache_read": 0.5
     }
   },
   "abliteration-ai/abliterated-model": {
@@ -13685,7 +13740,8 @@
     "image": true,
     "cost": {
       "input": 3,
-      "output": 3
+      "output": 3,
+      "cache_read": 0.3
     }
   },
   "alibaba-coding-plan-cn/qwen3.7-plus": {
@@ -14520,6 +14576,8 @@
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
+    "image": true,
+    "video": true,
     "cost": {
       "input": 0.1,
       "output": 0.15
@@ -15883,6 +15941,20 @@
       "cache_read": 0.2
     }
   },
+  "llmgateway/kimi-k3-fast": {
+    "name": "Kimi K3",
+    "context": 1040384,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 4.5,
+      "output": 22.5,
+      "cache_read": 0.45
+    }
+  },
   "llmgateway/claude-opus-5": {
     "name": "Claude Opus 5",
     "context": 1000000,
@@ -23525,6 +23597,8 @@
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
+    "image": true,
+    "video": true,
     "cost": {
       "input": 0.3,
       "output": 0.3,
@@ -23853,7 +23927,8 @@
     "structured_output": true,
     "cost": {
       "input": 0.95,
-      "output": 2.55
+      "output": 2.55,
+      "cache_read": 0.2
     }
   },
   "siliconflow/zai-org/GLM-4.5-Air": {
@@ -23875,6 +23950,7 @@
     "cost": {
       "input": 1.4,
       "output": 4.4,
+      "cache_read": 0.26,
       "cache_write": 0
     }
   },
@@ -23887,6 +23963,7 @@
     "cost": {
       "input": 1.4,
       "output": 4.4,
+      "cache_read": 0.26,
       "cache_write": 0
     }
   },
@@ -23899,6 +23976,7 @@
     "cost": {
       "input": 1.2,
       "output": 4,
+      "cache_read": 0.24,
       "cache_write": 0
     }
   },
@@ -24174,7 +24252,8 @@
     "tool_call": true,
     "cost": {
       "input": 0.3,
-      "output": 1.2
+      "output": 1.2,
+      "cache_read": 0.03
     }
   },
   "siliconflow/inclusionAI/Ling-flash-2.0": {
@@ -24319,7 +24398,8 @@
     "image": true,
     "cost": {
       "input": 0.45,
-      "output": 2.25
+      "output": 2.25,
+      "cache_read": 0.07
     }
   },
   "siliconflow/openai/gpt-oss-20b": {
@@ -29988,8 +30068,9 @@
     "tool_call": true,
     "structured_output": true,
     "cost": {
-      "input": 0.125,
-      "output": 0.5
+      "input": 0.06,
+      "output": 0.4,
+      "cache_read": 0.01
     }
   },
   "venice/llama-3.2-3b": {
@@ -30013,6 +30094,18 @@
       "output": 225
     }
   },
+  "venice/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.175,
+      "output": 0.35,
+      "cache_read": 0.035
+    }
+  },
   "venice/qwen3-235b-a22b-instruct-2507": {
     "name": "Qwen 3 235B A22B Instruct 2507",
     "context": 128000,
@@ -30792,7 +30885,8 @@
     "structured_output": true,
     "cost": {
       "input": 1.4,
-      "output": 4.4
+      "output": 4.4,
+      "cache_read": 0.26
     }
   },
   "togetherai/pearl-ai/gemma-4-31b-it": {
@@ -30849,7 +30943,8 @@
     "tool_call": true,
     "cost": {
       "input": 1.25,
-      "output": 3.75
+      "output": 3.75,
+      "cache_read": 0.125
     }
   },
   "togetherai/Qwen/Qwen3-235B-A22B-Instruct-2507-tput": {
@@ -30869,7 +30964,8 @@
     "image": true,
     "cost": {
       "input": 0.6,
-      "output": 3.6
+      "output": 3.6,
+      "cache_read": 0.35
     }
   },
   "togetherai/Qwen/Qwen3.6-Plus": {
@@ -33439,6 +33535,19 @@
       "cache_read": 0.27
     }
   },
+  "modal/moonshotai/Kimi-K3": {
+    "name": "Kimi K3",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 3,
+      "output": 15,
+      "cache_read": 0.3
+    }
+  },
   "qihang-ai/gemini-2.5-flash": {
     "name": "Gemini 2.5 Flash",
     "context": 1048576,
@@ -33814,7 +33923,9 @@
     "tool_call": true,
     "cost": {
       "input": 2.1,
-      "output": 8.4
+      "output": 8.4,
+      "cache_read": 2.1,
+      "cache_write": 8.4
     }
   },
   "moark/GLM-4.7": {
@@ -37298,6 +37409,8 @@
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
+    "image": true,
+    "video": true,
     "cost": {
       "input": 0.16,
       "output": 0.48
@@ -38030,7 +38143,7 @@
       "cache_write": 0
     }
   },
-  "zai-coding-plan/glm-5.2-highspeed[1m]": {
+  "zai-coding-plan/glm-5.2-highspeed": {
     "name": "GLM-5.2 Highspeed",
     "context": 1000000,
     "reasoning": true,
@@ -39859,7 +39972,9 @@
     "tool_call": true,
     "cost": {
       "input": 0.3,
-      "output": 1.2
+      "output": 1.2,
+      "cache_read": 0.03,
+      "cache_write": 0.375
     }
   },
   "minimax/MiniMax-M2.5": {
@@ -40611,6 +40726,303 @@
       "cache_read": 0.11
     }
   },
+  "tensorx/nvidia/nemotron-3-super-120b-a12b": {
+    "name": "Nemotron 3 Super 120B A12B",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.3,
+      "output": 0.9,
+      "cache_read": 0.075,
+      "cache_write": 0.375
+    }
+  },
+  "tensorx/qwen/qwen3-coder-30b-a3b-instruct": {
+    "name": "Qwen3-Coder 30B-A3B Instruct",
+    "context": 262000,
+    "tool_call": true,
+    "cost": {
+      "input": 0.06,
+      "output": 0.25,
+      "cache_read": 0.015,
+      "cache_write": 0.075
+    }
+  },
+  "tensorx/qwen/qwen3.5-9b": {
+    "name": "Qwen3.5 9B",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.15,
+      "output": 0.2,
+      "cache_read": 0.0375,
+      "cache_write": 0.1875
+    }
+  },
+  "tensorx/qwen/qwen3-vl-235b-a22b-instruct": {
+    "name": "Qwen3 VL 235B-A22B Instruct",
+    "context": 131000,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 0.21,
+      "output": 1.9,
+      "cache_read": 0.0525,
+      "cache_write": 0.2625
+    }
+  },
+  "tensorx/qwen/qwen3-235b-a22b-2507": {
+    "name": "Qwen3 235B-A22B-2507",
+    "context": 131000,
+    "tool_call": true,
+    "cost": {
+      "input": 0.072,
+      "output": 0.464,
+      "cache_read": 0.018,
+      "cache_write": 0.09
+    }
+  },
+  "tensorx/qwen/qwen3.5-122b-a10b": {
+    "name": "Qwen3.5 122B-A10B",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.5,
+      "output": 3.5,
+      "cache_read": 0.125,
+      "cache_write": 0.625
+    }
+  },
+  "tensorx/minimax/minimax-m3": {
+    "name": "MiniMax-M3",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.4,
+      "output": 2,
+      "cache_read": 0.1
+    }
+  },
+  "tensorx/minimax/minimax-m2.5": {
+    "name": "MiniMax-M2.5",
+    "context": 196608,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.3,
+      "output": 1.2,
+      "cache_read": 0.075,
+      "cache_write": 0.375
+    }
+  },
+  "tensorx/deepseek/deepseek-v4-flash": {
+    "name": "DeepSeek V4 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.15,
+      "output": 0.3,
+      "cache_read": 0.0375,
+      "cache_write": 0.1875
+    }
+  },
+  "tensorx/deepseek/deepseek-v4-pro": {
+    "name": "DeepSeek V4 Pro",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.75,
+      "output": 3.5,
+      "cache_read": 0.4375,
+      "cache_write": 2.185
+    }
+  },
+  "tensorx/deepseek/deepseek-r1-0528": {
+    "name": "DeepSeek R1-0528",
+    "context": 164000,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.66,
+      "output": 2.6,
+      "cache_read": 0.165,
+      "cache_write": 0.825
+    }
+  },
+  "tensorx/deepseek/deepseek-v3.2": {
+    "name": "DeepSeek V3.2",
+    "context": 163840,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.3,
+      "output": 0.5,
+      "cache_read": 0.075,
+      "cache_write": 0.375
+    }
+  },
+  "tensorx/deepseek/deepseek-chat-v3.1": {
+    "name": "DeepSeek Chat V3.1",
+    "context": 164000,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.2,
+      "output": 0.8,
+      "cache_read": 0.05,
+      "cache_write": 0.25
+    }
+  },
+  "tensorx/z-ai/glm-5": {
+    "name": "GLM-5",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 1,
+      "output": 3.2,
+      "cache_read": 0.25,
+      "cache_write": 1.25
+    }
+  },
+  "tensorx/z-ai/glm-5.1": {
+    "name": "GLM-5.1",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.4,
+      "output": 4.4,
+      "cache_read": 0.35,
+      "cache_write": 1.75
+    }
+  },
+  "tensorx/z-ai/glm-5.2": {
+    "name": "GLM-5.2",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.5,
+      "output": 4.5,
+      "cache_read": 0.375
+    }
+  },
+  "tensorx/z-ai/glm-4.7": {
+    "name": "GLM-4.7",
+    "context": 200000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 0.6,
+      "output": 2.2,
+      "cache_read": 0.15,
+      "cache_write": 0.75
+    }
+  },
+  "tensorx/z-ai/glm-5-turbo": {
+    "name": "GLM-5-Turbo",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.2,
+      "output": 4,
+      "cache_read": 0.3,
+      "cache_write": 1.5
+    }
+  },
+  "tensorx/z-ai/glm-5v-turbo": {
+    "name": "GLM-5V-Turbo",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.2,
+      "output": 4,
+      "cache_read": 0.3,
+      "cache_write": 1.5
+    }
+  },
+  "tensorx/moonshotai/kimi-k2.5": {
+    "name": "Kimi K2.5",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.5,
+      "output": 2.8,
+      "cache_read": 0.125,
+      "cache_write": 0.625
+    }
+  },
+  "tensorx/moonshotai/kimi-k2.6": {
+    "name": "Kimi K2.6",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1,
+      "output": 4,
+      "cache_read": 0.25,
+      "cache_write": 1.25
+    }
+  },
+  "tensorx/moonshotai/kimi-k2.7-code": {
+    "name": "Kimi K2.7 Code",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.25,
+      "output": 4.5,
+      "cache_read": 0.3125
+    }
+  },
+  "tensorx/openai/gpt-oss-120b": {
+    "name": "GPT OSS 120B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.04,
+      "output": 0.2,
+      "cache_read": 0.01,
+      "cache_write": 0.05
+    }
+  },
   "llama/cerebras-llama-4-maverick-17b-128e-instruct": {
     "name": "Cerebras-Llama-4-Maverick-17B-128E-Instruct",
     "context": 128000,
@@ -45975,6 +46387,109 @@
       "output": 2.92
     }
   },
+  "modelis/claude-sonnet-4-6": {
+    "name": "Claude Sonnet 4.6",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 3,
+      "output": 15
+    }
+  },
+  "modelis/gemini-2.5-flash": {
+    "name": "Gemini 2.5 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.3,
+      "output": 2.5
+    }
+  },
+  "modelis/claude-fable-5": {
+    "name": "Claude Fable 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 10,
+      "output": 50
+    }
+  },
+  "modelis/deepseek-v4-flash": {
+    "name": "DeepSeek V4 Flash",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.0983,
+      "output": 0.1966
+    }
+  },
+  "modelis/claude-opus-4-8": {
+    "name": "Claude Opus 4.8",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 5,
+      "output": 25
+    }
+  },
+  "modelis/deepseek-v4-pro": {
+    "name": "DeepSeek V4 Pro",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.435,
+      "output": 0.87
+    }
+  },
+  "modelis/gemini-2.5-pro": {
+    "name": "Gemini 2.5 Pro",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.25,
+      "output": 10
+    }
+  },
+  "modelis/qwen/qwen3.7-plus": {
+    "name": "Qwen3.7 Plus",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.768,
+      "output": 3.072
+    }
+  },
+  "modelis/qwen/qwen3.7-max": {
+    "name": "Qwen3.7 Max",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 3,
+      "output": 9
+    }
+  },
   "subconscious/subconscious/glm-5.2": {
     "name": "GLM-5.2",
     "context": 1000000,
@@ -47689,6 +48204,7 @@
   "vercel/google/gemini-2.5-flash-image": {
     "name": "Nano Banana (Gemini 2.5 Flash Image)",
     "context": 32768,
+    "image": true,
     "cost": {
       "input": 0.3,
       "output": 2.5,
@@ -47702,6 +48218,7 @@
   "vercel/google/gemini-3-pro-image": {
     "name": "Nano Banana Pro",
     "context": 65536,
+    "image": true,
     "cost": {
       "input": 2,
       "output": 12,
@@ -47721,6 +48238,9 @@
       "cache_read": 0.2
     }
   },
+  "vercel/google/veo-3.1-lite-generate-001": {
+    "name": "Veo 3.1 Lite Generate"
+  },
   "vercel/google/gemini-2.5-flash-lite": {
     "name": "Gemini 2.5 Flash Lite",
     "context": 1048576,
@@ -48298,6 +48818,7 @@
     "name": "Mistral Nemo",
     "context": 128000,
     "tool_call": true,
+    "image": true,
     "cost": {
       "input": 0.15,
       "output": 0.15
@@ -48578,6 +49099,17 @@
       "cache_read": 0.0036
     }
   },
+  "vercel/deepseek/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0.13,
+      "output": 0.26,
+      "cache_read": 0.028
+    }
+  },
   "vercel/deepseek/deepseek-v3": {
     "name": "DeepSeek V3 0324",
     "context": 163840,
@@ -49002,6 +49534,7 @@
     "context": 256000,
     "reasoning": true,
     "tool_call": true,
+    "image": true,
     "cost": {
       "input": 0.74,
       "output": 2.96,
@@ -49013,6 +49546,7 @@
     "context": 256000,
     "reasoning": true,
     "tool_call": true,
+    "image": true,
     "cost": {
       "input": 0.15,
       "output": 0.6,
@@ -49266,7 +49800,8 @@
   "vercel/perplexity/sonar-reasoning-pro": {
     "name": "Sonar Reasoning Pro",
     "context": 127000,
-    "reasoning": true
+    "reasoning": true,
+    "image": true
   },
   "vercel/moonshotai/kimi-k2.5": {
     "name": "Kimi K2.5",
@@ -50157,6 +50692,7 @@
     "context": 262114,
     "reasoning": true,
     "tool_call": true,
+    "image": true,
     "cost": {
       "input": 0.09,
       "output": 0.3,
@@ -52783,11 +53319,12 @@
     "name": "Inkling Small",
     "context": 524288,
     "reasoning": true,
+    "tool_call": true,
     "image": true,
     "cost": {
-      "input": 0.58,
-      "output": 1.44,
-      "cache_read": 0.116
+      "input": 0.5,
+      "output": 1.2,
+      "cache_read": 0.1
     }
   },
   "openrouter/thinkingmachines/inkling": {
@@ -52819,6 +53356,18 @@
       "output": 3
     }
   },
+  "openrouter/~deepseek/deepseek-v4-flash-latest": {
+    "name": "DeepSeek V4 Flash Latest",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.09,
+      "output": 0.18,
+      "cache_read": 0.018
+    }
+  },
   "openrouter/perceptron/perceptron-mk1": {
     "name": "Perceptron Mk1",
     "context": 32768,
@@ -52978,7 +53527,7 @@
     "structured_output": true,
     "cost": {
       "input": 0.07,
-      "output": 0.27
+      "output": 0.28
     }
   },
   "openrouter/qwen/qwen3.5-plus-02-15": {
@@ -54179,10 +54728,11 @@
     "context": 1048576,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.14,
-      "output": 0.28,
-      "cache_read": 0.0028
+      "input": 0.09,
+      "output": 0.18,
+      "cache_read": 0.018
     }
   },
   "openrouter/deepseek/deepseek-v3.2": {
@@ -54916,9 +55466,9 @@
     "tool_call": true,
     "structured_output": true,
     "cost": {
-      "input": 1.12,
-      "output": 3.52,
-      "cache_read": 0.208
+      "input": 0.4186,
+      "output": 1.3156,
+      "cache_read": 0.07774
     }
   },
   "openrouter/z-ai/glm-4.6": {
@@ -55061,9 +55611,9 @@
     "structured_output": true,
     "image": true,
     "cost": {
-      "input": 0.589,
-      "output": 2.48,
-      "cache_read": 0.0992
+      "input": 0.6,
+      "output": 3.41,
+      "cache_read": 0.2
     }
   },
   "openrouter/moonshotai/kimi-k2.7-code": {
@@ -55276,7 +55826,8 @@
     "structured_output": true,
     "cost": {
       "input": 0.03,
-      "output": 0.14
+      "output": 0.13,
+      "cache_read": 0.03
     }
   },
   "openrouter/openai/gpt-oss-safeguard-20b": {
@@ -56667,7 +57218,9 @@
     "tool_call": true,
     "cost": {
       "input": 0,
-      "output": 0
+      "output": 0,
+      "cache_read": 0,
+      "cache_write": 0
     }
   },
   "minimax-coding-plan/MiniMax-M2.5": {
@@ -56729,6 +57282,7 @@
     "cost": {
       "input": 1.4,
       "output": 4.4,
+      "cache_read": 0.26,
       "cache_write": 0
     }
   },
@@ -56782,6 +57336,7 @@
     "cost": {
       "input": 1.4,
       "output": 4.4,
+      "cache_read": 0.26,
       "cache_write": 0
     }
   },
@@ -56860,7 +57415,8 @@
     "image": true,
     "cost": {
       "input": 0.45,
-      "output": 2.25
+      "output": 2.25,
+      "cache_read": 0.07
     }
   },
   "siliconflow-cn/Qwen/Qwen3.5-27B": {
@@ -59386,18 +59942,6 @@
       "cache_read": 0.06
     }
   },
-  "chutes/zai-org/GLM-5-TEE": {
-    "name": "GLM 5 TEE",
-    "context": 202752,
-    "reasoning": true,
-    "tool_call": true,
-    "structured_output": true,
-    "cost": {
-      "input": 0.95,
-      "output": 2.55,
-      "cache_read": 0.475
-    }
-  },
   "chutes/zai-org/GLM-5.1-TEE": {
     "name": "GLM 5.1 TEE",
     "context": 202752,
@@ -59481,18 +60025,6 @@
       "cache_read": 0.225
     }
   },
-  "chutes/MiniMaxAI/MiniMax-M2.5-TEE": {
-    "name": "MiniMax M2.5 TEE",
-    "context": 196608,
-    "reasoning": true,
-    "tool_call": true,
-    "structured_output": true,
-    "cost": {
-      "input": 0.15,
-      "output": 1.2,
-      "cache_read": 0.075
-    }
-  },
   "chutes/deepseek-ai/DeepSeek-V3.2-TEE": {
     "name": "DeepSeek V3.2 TEE",
     "context": 131072,
@@ -59519,20 +60051,6 @@
       "cache_read": 0.33
     }
   },
-  "chutes/moonshotai/Kimi-K2.5-TEE": {
-    "name": "Kimi K2.5 TEE",
-    "context": 262144,
-    "reasoning": true,
-    "tool_call": true,
-    "structured_output": true,
-    "image": true,
-    "video": true,
-    "cost": {
-      "input": 0.44,
-      "output": 2,
-      "cache_read": 0.22
-    }
-  },
   "chutes/moonshotai/Kimi-K3-TEE": {
     "name": "Kimi K3 TEE",
     "context": 1048576,
@@ -63413,7 +63931,9 @@
     "tool_call": true,
     "cost": {
       "input": 0.3,
-      "output": 1.2
+      "output": 1.2,
+      "cache_read": 0.03,
+      "cache_write": 0.375
     }
   },
   "minimax-cn/MiniMax-M2.5": {
@@ -63930,7 +64450,9 @@
     "tool_call": true,
     "cost": {
       "input": 0,
-      "output": 0
+      "output": 0,
+      "cache_read": 0,
+      "cache_write": 0
     }
   },
   "minimax-cn-coding-plan/MiniMax-M2.5": {

website/src/i18n.tsx

@@ -16,10 +16,10 @@ const zh = {
     performance: "性能",
     changelog: "更新日志",
     download: "下载",
-    downloadBtn: "下载 v0.6.8",
+    downloadBtn: "下载 v0.7.0",
   },
   hero: {
-    badge: "v0.6.8 · 开源 MIT · Windows / macOS / Linux",
+    badge: "v0.7.0 · 开源 MIT · Windows / macOS / Linux",
     titleBefore: "统一管理你的",
     titleAccent: "AI 供应商",
     titleAfter: "",
@@ -140,6 +140,30 @@ const zh = {
     syncedNote: "数据已同步 GitHub Releases",
     fallbackNote: "内置版本记录",
     entries: [
+      {
+        version: "v0.7.0",
+        date: "2026-08-02",
+        items: [
+          "订阅套餐模型计价修正：零价条目按官方付费模型计价（zhipuai-coding-plan/glm-5.2 按 zhipuai/glm-5.2 牌价）",
+          "-highspeed / -free 派生变体自动回退到基础模型价格",
+          "Kimi For Coding 套餐无牌价时按旗舰模型 kimi-k3 价格估算用量",
+          "设置页：识图（image_in）能力可手动编辑，原生多模态模型不再提示 kimi-eyes 插件",
+          "修复仅单个套餐档位（如 5 小时）时用量卡片不显示的问题",
+          "kimi usages 响应异常时透出原始返回，便于对照接口排查",
+          "models.dev 价格快照同步",
+          "关于页新增官方网站链接",
+          "设置-关于页新增 Kimi Eyes 识图插件站链接",
+        ],
+      },
+      {
+        version: "v0.6.9",
+        date: "2026-08-01",
+        items: [
+          "最近请求新增缓存命中率列，每次请求命中一目了然",
+          "中文模式费用按最新汇率换算人民币（¥）显示，英文模式保持美元",
+          "仪表盘性能再优化：价格解析记忆化缓存，扫描从秒级降到百毫秒级；右上角新增加载耗时/数据量跟踪",
+        ],
+      },
       {
         version: "v0.6.8",
         date: "2026-08-01",
@@ -150,14 +174,6 @@ const zh = {
           "官网更新：Kimi 风格重设计、中英文切换、更新日志同步 GitHub Releases、三平台下载",
         ],
       },
-      {
-        version: "v0.6.7",
-        date: "2026-08-01",
-        items: [
-          "应用内置 Kimi 设备授权登录（等同 kimi login），浏览器授权即用，过期自动续期",
-          "外链打开统一走 Rust 命令，修复部分链接无法跳转",
-        ],
-      },
       {
         version: "v0.6.6",
         date: "2026-08-01",
@@ -244,7 +260,7 @@ const zh = {
   },
   download: {
     title: "下载 Kimi Switch",
-    subtitle: "当前版本 v0.6.8 · Windows / macOS / Linux 三平台已发布",
+    subtitle: "当前版本 v0.7.0 · Windows / macOS / Linux 三平台已发布",
     autoUpdate: "应用内置自动检测更新，新版本发布后在设置页一键升级。",
     ready: "已发布",
     wip: "开发中",
@@ -312,10 +328,10 @@ const en: Dict = {
     performance: "Performance",
     changelog: "Changelog",
     download: "Download",
-    downloadBtn: "Download v0.6.8",
+    downloadBtn: "Download v0.7.0",
   },
   hero: {
-    badge: "v0.6.8 · Open source MIT · Windows / macOS / Linux",
+    badge: "v0.7.0 · Open source MIT · Windows / macOS / Linux",
     titleBefore: "One app for all your ",
     titleAccent: "AI providers",
     titleAfter: "",
@@ -436,6 +452,30 @@ const en: Dict = {
     syncedNote: "Synced from GitHub Releases",
     fallbackNote: "Built-in release notes",
     entries: [
+      {
+        version: "v0.7.0",
+        date: "2026-08-02",
+        items: [
+          "Plan-entry pricing fix: zero-price plan listings bill at the official priced model (zhipuai-coding-plan/glm-5.2 → zhipuai/glm-5.2)",
+          "-highspeed / -free derived variants fall back to the base model price",
+          "Kimi For Coding (no list price) estimates usage at the flagship kimi-k3 rate",
+          "Settings: image_in capability is now manually editable; native multimodal models no longer show the kimi-eyes plugin hint",
+          "Fix single-tier plans (e.g. 5-hour only) showing no usage card",
+          "kimi usages failure now exposes the raw response for easier debugging",
+          "models.dev price snapshot sync",
+          "About page gains an official website link",
+          "Settings-About page gains a Kimi Eyes plugin site link",
+        ],
+      },
+      {
+        version: "v0.6.9",
+        date: "2026-08-01",
+        items: [
+          "Recent requests gain a cache-hit-rate column, per request at a glance",
+          "Chinese UI now shows costs in CNY (latest exchange rate); English keeps USD",
+          "Dashboard speedup: memoized price resolution drops the scan from seconds to milliseconds; load time / payload tracking in the top-right corner",
+        ],
+      },
       {
         version: "v0.6.8",
         date: "2026-08-01",
@@ -540,7 +580,7 @@ const en: Dict = {
   },
   download: {
     title: "Download Kimi Switch",
-    subtitle: "Current version v0.6.8 · Windows, macOS and Linux now released",
+    subtitle: "Current version v0.7.0 · Windows, macOS and Linux now released",
     autoUpdate: "Built-in update detection: upgrade in one click from Settings when a new version ships.",
     ready: "Available",
     wip: "In development",

website/src/sections/Download.tsx

@@ -8,25 +8,25 @@ const icons: Record<string, Icon> = {
   linux: LinuxLogo,
 };
 
-const VERSION = "0.6.8";
+const VERSION = "0.7.0";
 const GITHUB = "https://github.com/billowliu2/KimiSwitch";
 const MIRROR_RELEASES = "https://git.codingplan.site/admin/KimiCodeSwitch/releases";
 const dl = (file: string) => `${GITHUB}/releases/download/v${VERSION}/${file}`;
 
 /** Per-platform download assets for the current release (names match the CI
- *  release workflow, e.g. Kimi.Switch_0.6.8_x64_en-US.msi). */
+ *  release workflow, e.g. Kimi.Switch_0.7.0_x64_en-US.msi). */
 const assets: Record<string, { label: string; href: string }[]> = {
   windows: [
-    { label: "MSI", href: dl("Kimi.Switch_0.6.8_x64_en-US.msi") },
+    { label: "MSI", href: dl("Kimi.Switch_0.7.0_x64_en-US.msi") },
     { label: "镜像", href: MIRROR_RELEASES },
   ],
   macos: [
-    { label: "Apple Silicon (.dmg)", href: dl("Kimi.Switch_0.6.8_aarch64.dmg") },
+    { label: "Apple Silicon (.dmg)", href: dl("Kimi.Switch_0.7.0_aarch64.dmg") },
   ],
   linux: [
-    { label: ".deb", href: dl("Kimi.Switch_0.6.8_amd64.deb") },
-    { label: ".AppImage", href: dl("Kimi.Switch_0.6.8_amd64.AppImage") },
-    { label: ".rpm", href: dl("Kimi.Switch-0.6.8-1.x86_64.rpm") },
+    { label: ".deb", href: dl("Kimi.Switch_0.7.0_amd64.deb") },
+    { label: ".AppImage", href: dl("Kimi.Switch_0.7.0_amd64.AppImage") },
+    { label: ".rpm", href: dl("Kimi.Switch-0.7.0-1.x86_64.rpm") },
   ],
 };