feat(usage): 订阅套餐计价修正 + 识图能力可编辑 + 单套餐用量显示修复
- 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
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+103
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@@ -590,6 +590,20 @@ fn models_dev_lookup(model_name: &str) -> Option<(String, ModelsDevCost)> {
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Some((key.clone(), *cost))
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}
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/// Strip a trailing derived-variant suffix ("-highspeed", "-free") from a
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/// model id: plan endpoints expose e.g. `glm-5.2-highspeed`, which bills at
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/// the base model's price.
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fn strip_variant_suffix(model_name: &str) -> Option<String> {
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for suffix in ["-highspeed", "-free"] {
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if let Some(base) = model_name.strip_suffix(suffix) {
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if !base.is_empty() {
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return Some(base.to_string());
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}
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}
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}
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None
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}
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/// Strip a trailing context-size suffix ("-256k", "-128k", "-1m") from a model
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/// id: context variants like "k3-256k" bill at the base model's ("k3") price.
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/// Returns the stripped id (provider prefix preserved), or None when there is
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@@ -629,6 +643,42 @@ fn match_price(model_name: &str) -> (String, f64, f64, f64, bool) {
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result
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}
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/// Suffix-match a model against the models.dev index, skipping zero-priced
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/// (subscription-plan) listings so a paid official entry wins. Used as the
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/// fallback when the exact hit resolves to a zero-cost plan entry such as
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/// `zhipuai-coding-plan/glm-5.2` or `kimi-for-coding/kimi-for-coding`.
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fn priced_suffix_lookup(model_name: &str) -> Option<(String, ModelsDevCost)> {
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let bare = model_name.rsplit_once('/').map(|(_, b)| b).unwrap_or(model_name);
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let bare_l = bare.to_ascii_lowercase();
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let mut matches: Vec<(&String, &ModelsDevCost)> = models_dev_cost_index()
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.iter()
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.filter(|(key, cost)| {
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(cost.input > 0.0 || cost.output > 0.0)
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&& key
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.rsplit_once('/')
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.map(|(_, model)| model.ends_with(&bare_l))
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.unwrap_or(false)
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})
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.collect();
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if matches.is_empty() {
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return None;
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}
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matches.sort_by(|(a, _), (b, _)| {
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provider_rank(a)
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.cmp(&provider_rank(b))
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.then_with(|| a.cmp(b))
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});
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let (key, cost) = matches[0];
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Some((key.clone(), *cost))
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}
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/// Subscription-plan models without any priced counterpart in the snapshot
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/// (e.g. the "Kimi For Coding" plan endpoint has no per-token price) bill at
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/// the flagship model of the same family for cost estimation.
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const PLAN_MODEL_FALLBACK: &[(&str, &str)] = &[
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("kimi-for-coding", "moonshotai/kimi-k3"),
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];
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fn match_price_inner(model_name: &str) -> (String, f64, f64, f64, bool) {
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let bare = match model_name.rsplit_once('/') {
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Some((_, b)) => b,
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@@ -640,11 +690,30 @@ fn match_price_inner(model_name: &str) -> (String, f64, f64, f64, bool) {
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return (id, c.cache_read, c.input, c.output, false);
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}
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// Zero-priced listing (subscription-plan entries such as
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// kimi-for-coding/k3-256k): bill at the base model's list price.
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if let Some(base) = strip_context_suffix(model_name) {
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if let Some((base_id, base_c)) = models_dev_lookup(&base) {
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if base_c.input > 0.0 || base_c.output > 0.0 {
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return (base_id, base_c.cache_read, base_c.input, base_c.output, false);
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// zhipuai-coding-plan/glm-5.2 or kimi-for-coding/kimi-for-coding):
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// bill at a priced equivalent — the full id first, then derived
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// variants (-highspeed / -free), then the context-size base, then the
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// curated flagship fallback.
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for base in [
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Some(model_name.to_string()),
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strip_variant_suffix(model_name),
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strip_context_suffix(model_name),
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]
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.into_iter()
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.flatten()
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{
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if let Some((bid, bc)) = priced_suffix_lookup(&base) {
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if bc.input > 0.0 || bc.output > 0.0 {
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return (bid, bc.cache_read, bc.input, bc.output, false);
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}
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}
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}
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let bare = model_name.rsplit_once('/').map(|(_, b)| b).unwrap_or(model_name);
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let bare_l = bare.to_ascii_lowercase();
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for (plan, flagship) in PLAN_MODEL_FALLBACK {
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if bare_l.contains(plan) {
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if let Some((fid, fc)) = models_dev_lookup(flagship) {
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return (fid, fc.cache_read, fc.input, fc.output, false);
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}
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}
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}
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@@ -1717,6 +1786,35 @@ mod pricing_tests {
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assert_eq!(strip_context_suffix("kimi-k2-thinking"), None);
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}
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#[test]
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fn subscription_plan_models_bill_at_priced_equivalent() {
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// zhipuai-coding-plan/glm-5.2 is a zero-cost plan entry; the priced
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// official zhipuai/glm-5.2 must win.
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let (id, ch, input, output, est) = match_price("zhipuai-coding-plan/glm-5.2");
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assert!(!est);
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assert_eq!(id, "zhipuai/glm-5.2");
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assert_eq!(input, 1.4);
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assert_eq!(output, 4.4);
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assert_eq!(ch, 0.26);
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// Kimi For Coding has no priced counterpart at all → curated flagship.
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let (id, _, input, _, est) = match_price("kimi-code/kimi-for-coding");
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assert!(!est);
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assert_eq!(id, "moonshotai/kimi-k3");
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assert_eq!(input, 3.0);
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// -highspeed variants strip back to the priced base model.
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let (id, _, input, _, est) = match_price("zhipuai-coding-plan/glm-5.2-highspeed");
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assert!(!est);
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assert_eq!(id, "zhipuai/glm-5.2");
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assert_eq!(input, 1.4);
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assert_eq!(
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strip_variant_suffix("glm-5.2-highspeed").as_deref(),
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Some("glm-5.2")
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);
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assert_eq!(strip_variant_suffix("glm-5.2"), None);
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}
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#[test]
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fn cache_write_price_preferred_when_present() {
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// glm-4.6 has cache_write: 0 → cache creation billed at 0, not input.
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@@ -79,7 +79,20 @@ pub async fn query_kimi_coding(api_key: &str, timeout: Duration) -> Result<Usage
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)
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.await?
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{
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Fetched::Body(body) => Ok(UsageResult::ok(parse_kimi_coding(&body))),
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Fetched::Body(body) => {
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let tiers = parse_kimi_coding(&body);
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if tiers.is_empty() {
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// 响应里没有可解析的套餐档位(limits/usage 缺失或字段变了)。
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// 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。
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let preview = serde_json::to_string(&body)
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.unwrap_or_else(|_| "<unserializable body>".into());
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let trimmed: String = preview.chars().take(400).collect();
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return Ok(UsageResult::failure(format!(
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"kimi usages 响应无套餐数据,原始返回: {trimmed}"
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)));
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}
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Ok(UsageResult::ok(tiers))
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}
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Fetched::Failed(err) => Ok(err),
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}
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}
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@@ -699,6 +699,7 @@ function ModelMapping({
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<td className="px-4 py-2">
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<CapabilitiesCell
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capabilities={m.capabilities || []}
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nativeImage={getModelRef(m.model)?.image === true}
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onChange={(next) =>
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onModelChange({ ...m, capabilities: next })
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}
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@@ -822,9 +823,13 @@ function JsonPreview({
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function CapabilitiesCell({
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capabilities,
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onChange,
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nativeImage,
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}: {
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capabilities: string[];
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onChange: (next: string[]) => void;
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/** 模型本身是否原生支持图像输入(models.dev `image` 能力)。原生多模态
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* 模型无需 kimi-eyes 插件,提示不展示。 */
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nativeImage?: boolean;
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}) {
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const { t } = useTranslation();
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@@ -838,13 +843,12 @@ function CapabilitiesCell({
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return (
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<div className="flex flex-wrap items-center gap-x-3 gap-y-1.5">
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{/* Only `thinking` is user-editable. The other capabilities
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(always_thinking / image_in / video_in / tool_use) are still
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auto-derived from models.dev via `capabilitiesFromRef` and saved
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to config.toml — they just aren't exposed for manual editing.
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To restore the full editor, drop the `.filter(...)` below and
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re-add the custom-capabilities input (see git history). */}
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{KNOWN_CAPABILITIES.filter((cap) => cap === "thinking").map((cap) => (
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{/* `thinking` 与 `image_in`(识图)可手动编辑;其余能力
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(always_thinking / video_in / tool_use) 仍由 models.dev 自动派生,
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保存时照常写入 config.toml。 */}
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{KNOWN_CAPABILITIES.filter(
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(cap) => cap === "thinking" || cap === "image_in",
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).map((cap) => (
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<label
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key={cap}
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className="flex items-center gap-1 text-xs text-content-muted cursor-pointer"
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@@ -858,6 +862,11 @@ function CapabilitiesCell({
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{t(CAPABILITY_LABELS[cap])}
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</label>
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))}
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{capabilities.includes("image_in") && !nativeImage && (
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<span className="w-full text-[11px] text-content-muted">
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{t("capImageInHint")}
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</span>
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)}
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</div>
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);
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}
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@@ -357,7 +357,9 @@ export function UsageFooter({
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// success, or error/loading with last-good data (ghost).
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// Compact header already shows the primary entry; detail only adds value
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// when there are multiple tiers (e.g. 5h + weekly) or on error ghost.
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if (data.length <= 1 && status === "success") return null;
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// NOTE: single-tier plans (e.g. only five_hour) must still render — hiding
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// them made kimi-for-coding look like it had no plan quota at all.
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if (data.length === 0 && status === "success") return null;
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const ghost = status !== "success";
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return (
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<div
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@@ -163,6 +163,7 @@ export const enTranslations: Record<TranslationKey, string> = {
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capThinking: "Thinking",
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capAlwaysThinking: "Always Thinking",
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capImageIn: "Image Input",
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capImageInHint: "Text models actually need the plugin-kimi-eyes:kimi-eyes plugin for image recognition",
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capVideoIn: "Video Input",
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capToolUse: "Tool Use",
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customCapabilities: "Other capabilities (comma-separated)",
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@@ -161,6 +161,7 @@ export const zhTranslations = {
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capThinking: "思考",
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capAlwaysThinking: "始终思考",
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capImageIn: "图像输入",
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capImageInHint: "文本推理模型实际需要搭配 plugin-kimi-eyes:kimi-eyes 插件才能识图",
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capVideoIn: "视频输入",
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capToolUse: "工具调用",
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customCapabilities: "其他能力(逗号分隔)",
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+225
-21
@@ -1,5 +1,5 @@
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{
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"last_updated": "2026-08-01",
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"last_updated": "2026-08-02",
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"providers": {
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"zhipuai": {
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"id": "zhipuai",
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@@ -766,6 +766,20 @@
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"tool_call": true,
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"structured_output": true
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},
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{
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"id": "accounts/fireworks/models/deepseek-v4-flash-0731",
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"name": "DeepSeek V4 Flash 0731",
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"cost": {
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"input": 0.14,
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"output": 0.28,
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"cache_read": 0.028
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},
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"context": 1000000,
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"output_limit": 384000,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true
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},
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{
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"id": "accounts/fireworks/models/kimi-k2p7-code",
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"name": "Kimi K2.7 Code",
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@@ -1630,6 +1644,23 @@
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"image": true,
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"video": true
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},
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{
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"id": "gemini/gemini-3.5-flash-lite",
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"name": "Gemini 3.5 Flash Lite",
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"cost": {
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"input": 0.3,
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"output": 2.5,
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"cache_read": 0.03,
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"cache_write": 0.3
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},
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"context": 1048576,
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"output_limit": 65536,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true,
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"image": true,
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"video": true
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},
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{
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"id": "gemini/gemini-3-flash-preview",
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"name": "Gemini 3 Flash Preview",
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@@ -4720,6 +4751,21 @@
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"tool_call": true,
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"structured_output": true
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},
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{
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"id": "thinkingmachines/inkling-small",
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"name": "Inkling Small",
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"cost": {
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"input": 0.5,
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"output": 1.2,
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"cache_read": 0.1
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},
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"context": 1048576,
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"output_limit": 32768,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true,
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"image": true
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},
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{
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"id": "thinkingmachines/inkling",
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"name": "Inkling",
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@@ -4816,6 +4862,20 @@
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"reasoning": true,
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"tool_call": true
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},
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{
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"id": "deepseek-ai/DeepSeek-V4-Flash-0731",
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"name": "DeepSeek V4 Flash 0731",
|
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"cost": {
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"input": 0.13,
|
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"output": 0.26,
|
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"cache_read": 0.028
|
||||
},
|
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"context": 1048576,
|
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"output_limit": 1048576,
|
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"reasoning": true,
|
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"tool_call": true,
|
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"structured_output": true
|
||||
},
|
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{
|
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"id": "deepseek-ai/DeepSeek-V3.1",
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"name": "DeepSeek V3.1",
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@@ -7573,7 +7633,7 @@
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"tool_call": true
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},
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{
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"id": "glm-5.2-highspeed[1m]",
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"id": "glm-5.2-highspeed",
|
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"name": "GLM-5.2 Highspeed",
|
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"cost": {
|
||||
"input": 0,
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@@ -46613,7 +46673,7 @@
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"structured_output": true
|
||||
},
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{
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"id": "glm-5.2-highspeed[1m]",
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"id": "glm-5.2-highspeed",
|
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"name": "GLM-5.2 Highspeed",
|
||||
"cost": {
|
||||
"input": 0,
|
||||
@@ -56446,6 +56506,133 @@
|
||||
}
|
||||
]
|
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},
|
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"modelis": {
|
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"id": "modelis",
|
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"name": "Modelis",
|
||||
"models": [
|
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{
|
||||
"id": "claude-sonnet-4-6",
|
||||
"name": "Claude Sonnet 4.6",
|
||||
"cost": {
|
||||
"input": 3,
|
||||
"output": 15
|
||||
},
|
||||
"context": 1000000,
|
||||
"output_limit": 64000,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
||||
"image": true
|
||||
},
|
||||
{
|
||||
"id": "gemini-2.5-flash",
|
||||
"name": "Gemini 2.5 Flash",
|
||||
"cost": {
|
||||
"input": 0.3,
|
||||
"output": 2.5
|
||||
},
|
||||
"context": 1048576,
|
||||
"output_limit": 65536,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
||||
"structured_output": true,
|
||||
"image": true,
|
||||
"video": true
|
||||
},
|
||||
{
|
||||
"id": "claude-fable-5",
|
||||
"name": "Claude Fable 5",
|
||||
"cost": {
|
||||
"input": 10,
|
||||
"output": 50
|
||||
},
|
||||
"context": 1000000,
|
||||
"output_limit": 128000,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
||||
"image": true
|
||||
},
|
||||
{
|
||||
"id": "deepseek-v4-flash",
|
||||
"name": "DeepSeek V4 Flash",
|
||||
"cost": {
|
||||
"input": 0.0983,
|
||||
"output": 0.1966
|
||||
},
|
||||
"context": 1000000,
|
||||
"output_limit": 384000,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
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"subconscious": {
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"id": "subconscious",
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"name": "Subconscious",
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@@ -64671,13 +64858,14 @@
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"id": "thinkingmachines/inkling-small",
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{
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"id": "perceptron/perceptron-mk1",
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"name": "Perceptron Mk1",
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@@ -64896,10 +65098,10 @@
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"name": "Qwen3-Coder 30B-A3B Instruct",
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},
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@@ -66316,14 +66518,15 @@
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"id": "deepseek/deepseek-v4-flash-0731",
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"name": "DeepSeek V4 Flash 0731",
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"reasoning": true,
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"tool_call": true,
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"structured_output": true
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},
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{
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"id": "deepseek/deepseek-v3.2",
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@@ -67178,12 +67381,12 @@
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"id": "z-ai/glm-5.2",
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"name": "GLM-5.2",
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"structured_output": true
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@@ -67348,9 +67551,9 @@
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"id": "moonshotai/kimi-k2.6",
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"name": "Kimi K2.6",
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@@ -67605,7 +67808,8 @@
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+187
-17
@@ -1,5 +1,5 @@
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{
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"last_updated": "2026-08-01",
|
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"last_updated": "2026-08-02",
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"zhipuai/glm-5": {
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"name": "GLM-5",
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@@ -600,6 +600,18 @@
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},
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"name": "DeepSeek V4 Flash 0731",
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}
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},
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"name": "Kimi K2.7 Code",
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"context": 262000,
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@@ -1320,6 +1332,21 @@
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"cache_write": 0.3
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}
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},
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"crossmodel/gemini/gemini-3.5-flash-lite": {
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"name": "Gemini 3.5 Flash Lite",
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"context": 1048576,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true,
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"image": true,
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"video": true,
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},
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"crossmodel/gemini/gemini-3-flash-preview": {
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"name": "Gemini 3 Flash Preview",
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"context": 1048576,
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@@ -3884,6 +3911,19 @@
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"cache_read": 0.12
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}
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},
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"baseten/thinkingmachines/inkling-small": {
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"name": "Inkling Small",
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"context": 1048576,
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"reasoning": true,
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"tool_call": true,
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}
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},
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"baseten/thinkingmachines/inkling": {
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"name": "Inkling",
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"context": 1048576,
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@@ -3966,6 +4006,18 @@
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"output": 1.2
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}
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},
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"baseten/deepseek-ai/DeepSeek-V4-Flash-0731": {
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"name": "DeepSeek V4 Flash 0731",
|
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"context": 1048576,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true,
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},
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"baseten/deepseek-ai/DeepSeek-V3.1": {
|
||||
"name": "DeepSeek V3.1",
|
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"context": 164000,
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@@ -6220,7 +6272,7 @@
|
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"cache_write": 0
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}
|
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},
|
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"zhipuai-coding-plan/glm-5.2-highspeed[1m]": {
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||||
"zhipuai-coding-plan/glm-5.2-highspeed": {
|
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"name": "GLM-5.2 Highspeed",
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"context": 1000000,
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"reasoning": true,
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@@ -38091,7 +38143,7 @@
|
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"cache_write": 0
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}
|
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},
|
||||
"zai-coding-plan/glm-5.2-highspeed[1m]": {
|
||||
"zai-coding-plan/glm-5.2-highspeed": {
|
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"name": "GLM-5.2 Highspeed",
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||||
"context": 1000000,
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"reasoning": true,
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@@ -46335,6 +46387,109 @@
|
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}
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},
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"modelis/claude-sonnet-4-6": {
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"name": "Claude Sonnet 4.6",
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
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"image": true,
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"cost": {
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}
|
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},
|
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"modelis/gemini-2.5-flash": {
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"name": "Gemini 2.5 Flash",
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"context": 1048576,
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"reasoning": true,
|
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"tool_call": true,
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"structured_output": true,
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"image": true,
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"video": true,
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}
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},
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"modelis/claude-fable-5": {
|
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"name": "Claude Fable 5",
|
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
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"image": true,
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"output": 50
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}
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},
|
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"modelis/deepseek-v4-flash": {
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"name": "DeepSeek V4 Flash",
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
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"structured_output": true,
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}
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},
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"modelis/claude-opus-4-8": {
|
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"name": "Claude Opus 4.8",
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
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"image": true,
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"cost": {
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"input": 5,
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"output": 25
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}
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},
|
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"modelis/deepseek-v4-pro": {
|
||||
"name": "DeepSeek V4 Pro",
|
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
|
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"structured_output": true,
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"cost": {
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}
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},
|
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"modelis/gemini-2.5-pro": {
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"name": "Gemini 2.5 Pro",
|
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"context": 1048576,
|
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"reasoning": true,
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"tool_call": true,
|
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"structured_output": true,
|
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"image": true,
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"video": true,
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"cost": {
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"input": 1.25,
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"output": 10
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}
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},
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"modelis/qwen/qwen3.7-plus": {
|
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"name": "Qwen3.7 Plus",
|
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"context": 1000000,
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"reasoning": true,
|
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"tool_call": true,
|
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"image": true,
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"video": true,
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"cost": {
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"input": 0.768,
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"output": 3.072
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}
|
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},
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"modelis/qwen/qwen3.7-max": {
|
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"name": "Qwen3.7 Max",
|
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"context": 1000000,
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"reasoning": true,
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"tool_call": true,
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}
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},
|
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"subconscious/subconscious/glm-5.2": {
|
||||
"name": "GLM-5.2",
|
||||
"context": 1000000,
|
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@@ -53164,11 +53319,12 @@
|
||||
"name": "Inkling Small",
|
||||
"context": 524288,
|
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"reasoning": true,
|
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"tool_call": true,
|
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"image": true,
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"cost": {
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"input": 0.58,
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"output": 1.44,
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"cache_read": 0.116
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"input": 0.5,
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"output": 1.2,
|
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"cache_read": 0.1
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}
|
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},
|
||||
"openrouter/thinkingmachines/inkling": {
|
||||
@@ -53200,6 +53356,18 @@
|
||||
"output": 3
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}
|
||||
},
|
||||
"openrouter/~deepseek/deepseek-v4-flash-latest": {
|
||||
"name": "DeepSeek V4 Flash Latest",
|
||||
"context": 1048576,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
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"structured_output": true,
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"cost": {
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"input": 0.09,
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"output": 0.18,
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"cache_read": 0.018
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}
|
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},
|
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"openrouter/perceptron/perceptron-mk1": {
|
||||
"name": "Perceptron Mk1",
|
||||
"context": 32768,
|
||||
@@ -53359,7 +53527,7 @@
|
||||
"structured_output": true,
|
||||
"cost": {
|
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"input": 0.07,
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"output": 0.27
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"output": 0.28
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}
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},
|
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"openrouter/qwen/qwen3.5-plus-02-15": {
|
||||
@@ -54560,10 +54728,11 @@
|
||||
"context": 1048576,
|
||||
"reasoning": true,
|
||||
"tool_call": true,
|
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"structured_output": true,
|
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"cost": {
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"input": 0.14,
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"output": 0.28,
|
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"cache_read": 0.0028
|
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"input": 0.09,
|
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"output": 0.18,
|
||||
"cache_read": 0.018
|
||||
}
|
||||
},
|
||||
"openrouter/deepseek/deepseek-v3.2": {
|
||||
@@ -55297,9 +55466,9 @@
|
||||
"tool_call": true,
|
||||
"structured_output": true,
|
||||
"cost": {
|
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"input": 1.12,
|
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"output": 3.52,
|
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"cache_read": 0.208
|
||||
"input": 0.4186,
|
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"output": 1.3156,
|
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"cache_read": 0.07774
|
||||
}
|
||||
},
|
||||
"openrouter/z-ai/glm-4.6": {
|
||||
@@ -55442,9 +55611,9 @@
|
||||
"structured_output": true,
|
||||
"image": true,
|
||||
"cost": {
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"input": 0.589,
|
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"output": 2.48,
|
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"cache_read": 0.0992
|
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"input": 0.6,
|
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"output": 3.41,
|
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"cache_read": 0.2
|
||||
}
|
||||
},
|
||||
"openrouter/moonshotai/kimi-k2.7-code": {
|
||||
@@ -55657,7 +55826,8 @@
|
||||
"structured_output": true,
|
||||
"cost": {
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"input": 0.03,
|
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"output": 0.14
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"output": 0.13,
|
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"cache_read": 0.03
|
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}
|
||||
},
|
||||
"openrouter/openai/gpt-oss-safeguard-20b": {
|
||||
|
||||
Reference in new issue
Block a user