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https://beatapi.io/assets/model-directory-BsFqiB_Y.js

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1import{n as e}from"./usd-C1ttYoG_.js";var t={checkedAt:`2026-09-23`,groups:[{model:`JEV API`,category:`text`,href:`/jev-api`,specs:[{id:`jev-1.13-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:0}]},{model:`Grok 4.7`,category:`text`,href:`/grok-4-7-api`,specs:[{id:`grok-4.7-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.7},{id:`grok-4.7-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.175},{id:`grok-4.7-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.1},{id:`grok-4.7-long-input-200k`,spec:`Input over 200K context · per 1M tokens`,specZh:`超 200K 上下文输入 · 每 100 万 tokens`,beatapiUsd:1.4},{id:`grok-4.7-long-output-200k`,spec:`Output over 200K context · per 1M tokens`,specZh:`超 200K 上下文输出 · 每 100 万 tokens`,beatapiUsd:4.2}]},{model:`GPT-6 Astra`,category:`text`,href:`/gpt-6-astra-api`,specs:[{id:`gpt-6-astra-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:4},{id:`gpt-6-astra-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.4},{id:`gpt-6-astra-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:20},{id:`gpt-6-astra-long-input`,spec:`Input over 272K context · per 1M tokens`,specZh:`超 272K 上下文输入 · 每 100 万 tokens`,beatapiUsd:8},{id:`gpt-6-astra-long-output`,spec:`Output over 272K context · per 1M tokens`,specZh:`超 272K 上下文输出 · 每 100 万 tokens`,beatapiUsd:30}]},{model:`GPT-6.1 Sol`,category:`text`,href:`/gpt-6-1-sol-api`,specs:[{id:`gpt-6.1-sol-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.8},{id:`gpt-6.1-sol-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.04},{id:`gpt-6.1-sol-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:1},{id:`gpt-6.1-sol-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:4},{id:`gpt-6.1-sol-long-input`,spec:`Input over 272K context · per 1M tokens`,specZh:`超 272K 上下文输入 · 每 100 万 tokens`,beatapiUsd:1.6},{id:`gpt-6.1-sol-long-cached-input`,spec:`Cached input over 272K context · per 1M tokens`,specZh:`超 272K 上下文缓存输入 · 每 100 万 tokens`,beatapiUsd:.08},{id:`gpt-6.1-sol-long-cache-write`,spec:`Cache write over 272K context · per 1M tokens`,specZh:`超 272K 上下文缓存写入 · 每 100 万 tokens`,beatapiUsd:2},{id:`gpt-6.1-sol-long-output`,spec:`Output over 272K context · per 1M tokens`,specZh:`超 272K 上下文输出 · 每 100 万 tokens`,beatapiUsd:6}]},{model:`Claude Fable 5.1`,category:`text`,href:`/claude-fable-5-1-api`,specs:[{id:`claude-fable-5-1-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:5},{id:`claude-fable-5-1-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.125},{id:`claude-fable-5-1-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:6.25},{id:`claude-fable-5-1-cache-write-1h`,spec:`Cache write, 1h · per 1M tokens`,specZh:`缓存写入 1 小时 · 每 100 万 tokens`,beatapiUsd:10},{id:`claude-fable-5-1-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:25}]},{model:`GLM 5.3`,category:`text`,href:`/glm-5-3-api`,specs:[{id:`glm-5.3-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.98},{id:`glm-5.3-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.182},{id:`glm-5.3-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:3.08}]},{model:`Grok Imagine Image 2.0`,category:`image`,href:`/grok-imagine-image-2.0-api`,specs:[{id:`grok-imagine-image-2.0-1k`,spec:`1 image · text-to-image · 1K`,specZh:`1 张图片 · 文生图 · 1K`,beatapiUsd:.03}]},{model:`Grok Imagine Video 1.5`,category:`video`,href:`/grok-imagine-video-1.5-api`,specs:[{id:`grok-imagine-video-1.5-480p`,spec:`8 sec 
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tokens`,beatapiUsd:.08},{id:`gpt-6-sol-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:1},{id:`gpt-6-sol-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:4},{id:`gpt-6-sol-long-input`,spec:`Input over 272K context · per 1M tokens`,specZh:`超 272K 上下文输入 · 每 100 万 tokens`,beatapiUsd:1.6},{id:`gpt-6-sol-long-output`,spec:`Output over 272K context · per 1M tokens`,specZh:`超 272K 上下文输出 · 每 100 万 tokens`,beatapiUsd:6}]},{model:`GPT-6 Luna`,category:`text`,href:`/gpt-6-luna-api`,specs:[{id:`gpt-6-luna-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.04},{id:`gpt-6-luna-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.004},{id:`gpt-6-luna-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:.05},{id:`gpt-6-luna-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 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· 每 100 万 tokens`,beatapiUsd:18}]},{model:`GPT-5.6 Terra`,category:`text`,href:`/gpt-5-6-api`,specs:[{id:`gpt-5.6-terra-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:1},{id:`gpt-5.6-terra-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.1},{id:`gpt-5.6-terra-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:1.25},{id:`gpt-5.6-terra-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:6},{id:`gpt-5.6-terra-long-input`,spec:`Input over 272K context · per 1M tokens`,specZh:`超 272K 上下文输入 · 每 100 万 tokens`,beatapiUsd:2},{id:`gpt-5.6-terra-long-output`,spec:`Output over 272K context · per 1M tokens`,specZh:`超 272K 上下文输出 · 每 100 万 tokens`,beatapiUsd:9}]},{model:`GPT-5.6 Luna`,category:`text`,href:`/gpt-5-6-api`,specs:[{id:`gpt-5.6-luna-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.08},{id:`gpt-5.6-luna-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.008},{id:`gpt-5.6-luna-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:.1},{id:`gpt-5.6-luna-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:.48},{id:`gpt-5.6-luna-long-input`,spec:`Input over 272K context · per 1M tokens`,specZh:`超 272K 上下文输入 · 每 100 万 tokens`,beatapiUsd:.16},{id:`gpt-5.6-luna-long-output`,spec:`Output over 272K context · per 1M tokens`,specZh:`超 272K 上下文输出 · 每 100 万 tokens`,beatapiUsd:.72}]},{model:`Claude Opus 5.5`,category:`text`,href:`/claude-opus-5-5-api`,specs:[{id:`claude-opus-5-5-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:2},{id:`claude-opus-5-5-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.1},{id:`claude-opus-5-5-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:2.5},{id:`claude-opus-5-5-cache-write-1h`,spec:`Cache write, 1h · per 1M tokens`,specZh:`缓存写入 1 小时 · 每 100 万 tokens`,beatapiUsd:4},{id:`claude-opus-5-5-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:10}]},{model:`Claude Opus 5`,category:`text`,href:`/claude-opus-5-api`,specs:[{id:`claude-opus-5-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:2.5},{id:`claude-opus-5-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.25},{id:`claude-opus-5-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:3.125},{id:`claude-opus-5-cache-write-1h`,spec:`Cache write, 1h · per 1M tokens`,specZh:`缓存写入 1 小时 · 每 100 万 tokens`,beatapiUsd:5},{id:`claude-opus-5-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:12.5}]},{model:`Claude Sonnet 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tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:1.25},{id:`claude-sonnet-5-cache-write-1h`,spec:`Cache write, 1h · per 1M tokens`,specZh:`缓存写入 1 小时 · 每 100 万 tokens`,beatapiUsd:2},{id:`claude-sonnet-5-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:5}]},{model:`Claude Haiku 4.5`,category:`text`,href:`/claude-haiku-4-5-api`,specs:[{id:`claude-haiku-4-5-20251001-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.5},{id:`claude-haiku-4-5-20251001-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.05},{id:`claude-haiku-4-5-20251001-cache-write`,spec:`Cache write · per 1M tokens`,specZh:`缓存写入 · 每 100 万 tokens`,beatapiUsd:.625},{id:`claude-haiku-4-5-20251001-cache-write-1h`,spec:`Cache write, 1h · per 1M tokens`,specZh:`缓存写入 1 小时 · 每 100 万 tokens`,beatapiUsd:1},{id:`claude-haiku-4-5-20251001-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.5}]},{model:`Gemini 3.8 Flash`,category:`text`,href:`/gemini-3-8-flash-api`,specs:[{id:`gemini-3.8-flash-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.375},{id:`gemini-3.8-flash-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.0375},{id:`gemini-3.8-flash-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:1.875}]},{model:`Gemini 3.7 Flash`,category:`text`,href:`/gemini-3-7-flash-api`,specs:[{id:`gemini-3.7-flash-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.375},{id:`gemini-3.7-flash-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.0375},{id:`gemini-3.7-flash-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:1.875}]},{model:`Gemini 3.6 Flash`,category:`text`,href:`/gemini-3-6-flash-api`,specs:[{id:`gemini-3.6-flash-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 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4.6`,category:`text`,href:`/grok-4-6-api`,specs:[{id:`grok-4.6-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.7},{id:`grok-4.6-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.175},{id:`grok-4.6-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.1},{id:`grok-4.6-long-input-200k`,spec:`Input over 200K context · per 1M tokens`,specZh:`超 200K 上下文输入 · 每 100 万 tokens`,beatapiUsd:1.4},{id:`grok-4.6-long-output-200k`,spec:`Output over 200K context · per 1M tokens`,specZh:`超 200K 上下文输出 · 每 100 万 tokens`,beatapiUsd:4.2}]},{model:`Grok 4.5`,category:`text`,href:`/grok-4-5-api`,specs:[{id:`grok-4.5-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.7},{id:`grok-4.5-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.105},{id:`grok-4.5-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.1},{id:`grok-4.5-long-input-200k`,spec:`Input over 200K context · per 1M tokens`,specZh:`超 200K 上下文输入 · 每 100 万 tokens`,beatapiUsd:1.4},{id:`grok-4.5-long-output-200k`,spec:`Output over 200K context · per 1M tokens`,specZh:`超 200K 上下文输出 · 每 100 万 tokens`,beatapiUsd:4.2}]},{model:`DeepSeek V4 Pro`,category:`text`,href:`/deepseek-v4-pro-api`,specs:[{id:`deepseek-v4-pro-0813-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.33},{id:`deepseek-v4-pro-0813-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.011},{id:`deepseek-v4-pro-0813-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:.99}]},{model:`DeepSeek V4.1 Flash`,category:`text`,href:`/deepseek-v4-1-flash-api`,specs:[{id:`deepseek-v4.1-flash-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.075},{id:`deepseek-v4.1-flash-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.0015},{id:`deepseek-v4.1-flash-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:.3}]},{model:`DeepSeek V4 Flash`,category:`text`,href:`/deepseek-v4-flash-api`,specs:[{id:`deepseek-v4-flash-0731-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.11},{id:`deepseek-v4-flash-0731-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.0035},{id:`deepseek-v4-flash-0731-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:.33}]},{model:`Kimi K3`,category:`text`,href:`/kimi-k3-api`,specs:[{id:`kimi-k3-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:2.1},{id:`kimi-k3-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.21},{id:`kimi-k3-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:10.5}]},{model:`Kimi K2.7 Code`,category:`text`,href:`/kimi-k2-7-code-api`,specs:[{id:`kimi-k2.7-code-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.665},{id:`kimi-k2.7-code-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.133},{id:`kimi-k2.7-code-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.8}]},{model:`Kimi K2.6`,category:`text`,href:`/kimi-k2-6-api`,specs:[{id:`kimi-k2.6-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.665},{id:`kimi-k2.6-cached-input`,spec:`Cached input · per 1M tokens`,specZh:`缓存命中输入 · 每 100 万 tokens`,beatapiUsd:.112},{id:`kimi-k2.6-output`,spec:`Output · per 1M tokens`,specZh:`输出 · 每 100 万 tokens`,beatapiUsd:2.8}]},{model:`GLM 5.3 Flash`,category:`text`,href:`/glm-5-3-flash-api`,specs:[{id:`glm-5.3-flash-input`,spec:`Input · per 1M tokens`,specZh:`输入 · 每 100 万 tokens`,beatapiUsd:.105},{id:`glm-5.3-flash-cached-input`,spec:`Cached input · per 1M 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1function k(e){return e===`zh`||e===`ja`?e:`en`}function ue(e){switch(k(e)){case`zh`:return`Ox Alpha(GLM 5.3 Flash)API 价格与接入 | BeatAPI`;case`ja`:return`Ox Alpha APIの料金・導入ガイド | BeatAPI`;default:return`Ox Alpha API Pricing & Integration | BeatAPI`}}function A(e){switch(k(e)){case`zh`:return`Ox Alpha API:用 BeatAPI 调用 Ox Alpha(智谱 GLM 5.3 Flash 曾用名)。公开模型 ID glm-5.3-flash,约 100 万 token 上下文,按 token 计费,适合写代码与长程 agent。`;case`ja`:return`Ox Alpha API。BeatAPI で Ox Alpha(Z.ai GLM 5.3 Flash の stealth 名)を呼び出し。公開 ID は glm-5.3-flash。約 100 万トークン、コーディングとエージェント向け、トークン課金。`;default:return`Ox Alpha API on BeatAPI. Ox Alpha is Z.ai GLM 5.3 Flash under its stealth name—call glm-5.3-flash. ~1M context for coding and agents, billed per token.`}}function j(e){switch(k(e)){case`zh`:return`Ox Alpha API`;case`ja`:return`Ox Alpha API`;default:return`Ox Alpha API`}}function M(e){switch(k(e)){case`zh`:return`用一把 BeatAPI 密钥调用 Ox Alpha。Ox Alpha 是面向写代码、长程 agent 与生产负载的 frontier 推理模型,约 100 万 token 上下文;它曾是 OpenRouter stealth 预览名,现已确认为智谱 Z.ai GLM 5.3 Flash。请求请使用公开模型 ID glm-5.3-flash——不是聊天壳,是可接入产品的 Ox Alpha API。`;case`ja`:return`BeatAPI の 1 つのキーで Ox Alpha を呼び出します。Ox Alpha はコーディング、長時間エージェント、本番ワークロード向けの frontier 推論モデルで、約 100 万トークンのコンテキストを持ちます。OpenRouter の stealth プレビュー名であり、現在は Z.ai(智譜)GLM 5.3 Flash です。公開モデル ID は glm-5.3-flash。チャットラッパーではなく、本番向けの Ox Alpha API です。`;default:return`Call Ox Alpha through one BeatAPI key. Ox Alpha is a frontier reasoning model built for code, long-horizon agents, and production workloads, with about a million tokens of context. It was the OpenRouter stealth preview name for Z.ai GLM 5.3 Flash — use public model ID glm-5.3-flash. This is an Ox Alpha API for shipping products, not a no-login chat wrapper.`}}function N(e){switch(k(e)){case`zh`:return`Ox Alpha(GLM 5.3 Flash)`;case`ja`:return`Ox Alpha(GLM 5.3 Flash)`;default:return`Ox Alpha (GLM 5.3 Flash)`}}function P(e){switch(k(e)){case`zh`:return{title:`用 Ox Alpha 做什么`,description:`Ox Alpha 擅长长程软件工程、复杂多步推理,以及文本 + 图像/视频一起看的工作流。BeatAPI 上的 Ox Alpha API 走标准文本网关,公开 ID 为 glm-5.3-flash。`,summary:`Ox Alpha:约 1M token 上下文、推理优先、适合写代码与 agent。实质是智谱 GLM 5.3 Flash;调用 ID glm-5.3-flash。`,use:`在任意兼容格式里发送模型 ID glm-5.3-flash,即可调用 Ox Alpha(GLM 5.3 Flash)。`};case`ja`:return{title:`Ox Alpha の用途`,description:`Ox Alpha は長時間のソフトウェアエンジニアリング、複雑な多段推論、テキストと画像・動画を組み合わせたワークフローに向いています。BeatAPI の Ox Alpha API は標準テキストゲートウェイ経由で、公開 ID は glm-5.3-flash です。`,summary:`Ox Alpha:約 1M トークン、推論優先、コーディングとエージェント向け。実体は GLM 5.3 Flash。呼び出し ID は glm-5.3-flash。`,use:`互換フォーマットでモデル ID glm-5.3-flash を送り、Ox Alpha(GLM 5.3 Flash)を呼び出します。`};default:return{title:`What Ox Alpha is for`,description:`Ox Alpha shines at long-horizon software engineering, complex multi-step reasoning, and workflows that mix text with visual context. The Ox Alpha API on BeatAPI uses the standard text gateway under public model ID glm-5.3-flash.`,summary:`Ox Alpha: ~1M-token context, reasoning-first, built for coding and agents. It is Z.ai GLM 5.3 Flash — call glm-5.3-flash.`,use:`Send model ID glm-5.3-flash in any supp
1orted text-compatible format to call Ox Alpha (GLM 5.3 Flash).`}}}function F(e){switch(k(e)){case`zh`:return{title:`Ox Alpha FAQ`,description:`Ox Alpha 是什么、上下文多大、和 GLM 5.3 Flash / oxalpha.com 的关系,以及如何用 BeatAPI 调 Ox Alpha API。`,ctaDescription:`创建 BeatAPI 密钥,用公开模型 ID glm-5.3-flash 调用 Ox Alpha,并与站内其他模型共用同一账户。`};case`ja`:return{title:`Ox Alpha FAQ`,description:`Ox Alpha とは何か、コンテキストサイズ、GLM 5.3 Flash / oxalpha.com との関係、BeatAPI で Ox Alpha API を呼ぶ方法。`,ctaDescription:`BeatAPI キーを作成し、公開モデル ID glm-5.3-flash で Ox Alpha を呼び出し、他モデルと同じアカウントを使います。`};default:return{title:`Ox Alpha FAQ`,description:`What Ox Alpha is, context size, how it relates to GLM 5.3 Flash and oxalpha.com, and how to call the Ox Alpha API on BeatAPI.`,ctaDescription:`Create a BeatAPI key, call Ox Alpha with public model ID glm-5.3-flash, and use the same account for the rest of the catalogue.`}}}function I(e){switch(k(e)){case`zh`:return[{question:`什么是 Ox Alpha?`,answer:`Ox Alpha 是一个 frontier 推理模型,约 100 万 token 上下文,面向写代码、长程 agent 与生产负载。它会先规划再回答,并支持工具调用与结构化输出。2026 å¹´ 8 月它以 stealth 名出现在 OpenRouter;现已确认为智谱 Z.ai 的 GLM 5.3 Flash。`},{question:`Ox Alpha 和 GLM 5.3 Flash 是同一个模型吗?`,answer:`是。Ox Alpha 是 GLM 5.3 Flash 的 stealth 预览名。在 BeatAPI 上请使用公开模型 ID glm-5.3-flash 调用 Ox Alpha——没有单独的 ox-alpha 模型 ID。`},{question:`BeatAPI 上的 Ox Alpha API 和 oxalpha.com 有什么区别?`,answer:`oxalpha.com 是第三方免登录网页聊天壳。BeatAPI 的 Ox Alpha API 是面向开发者的文本网关:同一把密钥、美元余额、用量与日志,可接入 SDK、agent 与生产流量。两者都不是模型官方站。`},{question:`Ox Alpha 的上下文窗口有多大?`,answer:`Ox Alpha(GLM 5.3 Flash)在 BeatAPI 目录中为百万 token 量级上下文(标注 1.31M),足够在单次请求里放入整仓代码、长规格说明或大段 transcript,而不必先做切片或 RAG。`},{question:`Ox Alpha 擅长什么?`,answer:`Ox Alpha 擅长长程软件工程、复杂多步推理,以及文本与图像/视频结合的工作流。它支持工具调用与结构化(JSON)输出,适合持续的 agent 任务。`},{question:`Ox Alpha API 免费吗?`,answer:`Stealth 预览期的免费聊天已经结束。BeatAPI 按实际 token 用量计费(输入、缓存输入、输出),公开价见本页;注册额度是否覆盖 glm-5.3-flash 以账户策略为准。`},{question:`如何调用 Ox Alpha API?`,answer:`对 https://api.beatapi.io 使用你的 BeatAPI 密钥,在 Chat Completions、Responses、Messages 或 Gemini 兼容格式中把 model 设为 glm-5.3-flash。这就是 BeatAPI 上的 Ox Alpha 调用方式。`},{question:`可以用同一把密钥调 Ox Alpha 和其他模型吗?`,answer:`可以。同一把 BeatAPI 密钥与美元余额可用于文本、图像、视频、工作流等 API;Ox Alpha 与站内其他模型共用账户,无需单独开通。`}];case`ja`:return[{question:`Ox Alpha とは何ですか?`,answer:`Ox Alpha は約 100 万トークンのコンテキストを持つ frontier 推論モデルで、コーディング、長時間エージェント、本番ワークロード向けです。先に計画してから回答し、ツール呼び出しと構造化出力に対応します。2026 å¹´ 8 月に OpenRouter の stealth 名として登場し、現在は Z.ai(智譜)の GLM 5.3 Flash であることが確認されています。`},{question:`Ox Alpha と GLM 5.3 Flash は同じモデルですか?`,answer:`はい。Ox Alpha は GLM 5.3 Flash の stealth プレビュー名です。BeatAPI では公開モデル ID glm-5.3-flash で Ox Alpha を呼び出してください。ox-alpha という別 ID はありません。`},{question:`BeatAPI の Ox Alpha API と oxalpha.com の違いは?`,answer:`oxalpha.com はログイン不要の第三者チャット UI です。BeatAPI の Ox Alpha API は開発者向けテキストゲートウェイで、同じキー、USD 残高、使用量、ログを使い、SDK やエージェント、本番トラフィックに接続できます。どちらもモデル公式サイトではありません。`},{question:`Ox Alpha のコンテキストウィンドウはどのくらいですか?`,answer:`Ox Alpha(GLM 5.3 Flash)は BeatAPI のカタログで百万トークン級(表記 1.31M)のコンテキストです。リポジトリ全体や長い仕様、大量の文字起こしを 1 回のプロンプトに載せられます。`},{question:`Ox Alpha は何が得意ですか?`,answer:`長時間のソフトウェアエンジニアリング、複雑な多段推論、テキストと画像・動画を組み合わせたワークフローです。ツール呼び出しと構造化(JSON)出力に対å¿
1œã—、継続的なエージェント作業に向いています。`},{question:`Ox Alpha API は無料ですか?`,answer:`stealth プレビュー期間の無料チャットは終了しています。BeatAPI は実際のトークン使用量(入力・キャッシュ入力・出力)で課金します。料金は本ページの公開価格を参照してください。`},{question:`Ox Alpha API の呼び出し方は?`,answer:`https://api.beatapi.io に BeatAPI キーを使い、Chat Completions / Responses / Messages / Gemini 互換フォーマットで model に glm-5.3-flash を指定します。それが BeatAPI 上の Ox Alpha の呼び方です。`},{question:`同じキーで Ox Alpha と他モデルを呼べますか?`,answer:`はい。同じ BeatAPI キーと USD 残高でテキスト、画像、動画、ワークフロー API を利用できます。Ox Alpha も他モデルと同じアカウントです。`}];default:return[{question:`What is Ox Alpha?`,answer:`Ox Alpha is a frontier reasoning model with about a million tokens of context, designed for coding, sustained agentic work, and production workloads. It plans before it answers and supports tool calling and structured output. It appeared on OpenRouter in August 2026 under a stealth name and has been confirmed as Z.ai’s GLM 5.3 Flash.`},{question:`Is Ox Alpha the same as GLM 5.3 Flash?`,answer:`Yes. Ox Alpha was the stealth preview name for GLM 5.3 Flash. On BeatAPI, call Ox Alpha with the public model ID glm-5.3-flash — there is no separate ox-alpha model ID.`},{question:`How is the Ox Alpha API on BeatAPI different from oxalpha.com?`,answer:`oxalpha.com is a third-party, no-login web chat wrapper. BeatAPI’s Ox Alpha API is a developer text gateway: one key, USD balance, usage, and logs you can wire into SDKs, agents, and production traffic. Neither site is the model’s official homepage.`},{question:`How large is Ox Alpha’s context window?`,answer:`Ox Alpha (GLM 5.3 Flash) is listed with a million-token-class context window on BeatAPI (catalogue label: 1.31M). That is large enough for entire codebase
1s, long specs, or hours of transcripts in a single prompt without chunking or RAG workarounds.`},{question:`What is Ox Alpha good at?`,answer:`Ox Alpha shines at long-horizon software engineering, complex multi-step reasoning, and workflows that combine text with visual context. It supports tool calling and structured (JSON) output for sustained agentic tasks.`},{question:`Is the Ox Alpha API free?`,answer:`The free stealth-period chat window is over. BeatAPI bills from actual token usage (input, cached input, and output). Current public rates are on this page; whether free signup credit covers glm-5.3-flash depends on account policy.`},{question:`How do I call the Ox Alpha API?`,answer:`Send your BeatAPI key to https://api.beatapi.io and set model to glm-5.3-flash in Chat Completions, Responses, Messages, or the Gemini-compatible format. That is how you call Ox Alpha on BeatAPI.`},{question:`Can the same API key call Ox Alpha and other models?`,answer:`Yes. The same BeatAPI key and USD balance work across text, image, video, workflow, and related APIs. Ox Alpha shares that account — no separate signup.`}]}}function L(e){switch(k(e)){case`zh`:return{title:`把 Ox Alpha 接到生产密钥后面。`,description:`用你现有应用已支持的兼容格式调用 Ox Alpha(glm-5.3-flash),一把密钥覆盖 BeatAPI 全站模型。`};case`ja`:return{title:`Ox Alpha を本番キーの背後に。`,description:`既存アプリが話す互換フォーマットで Ox Alpha(glm-5.3-flash)を呼び出し、1 つのキーで BeatAPI 全モデルを使います。`};default:return{title:`Put Ox Alpha behind one production key.`,description:`Call Ox Alpha (glm-5.3-flash) in the compatible format your app already speaks, with one account for every BeatAPI model.`}}}function R(e){switch(k(e)){case`zh`:return{title:`Ox Alpha API 价格`,description:`Ox Alpha(GLM 5.3 Flash)按 token 计费。下表为 BeatAPI 公开的输入、缓存输入与输出单价(每 100 万 token,美元)。`};case`ja`:return{title:`Ox Alpha API の料金`,description:`Ox Alpha(GLM 5.3 Flash)はトークン課金です。下表は BeatAPI の公開入力・キャッシュ入力・出力単価(100 万トークンあたり、USD)です。`};default:return{title:`Ox Alpha API pricing`,description:`Ox Alpha (GLM 5.3 Flash) is billed per token. The table shows BeatAPI’s public input, cached-input, and output rates in USD per 1M tokens.`}}}var z=[{id:`openai`,label:`OpenAI`,directoryVendor:`OpenAI`},{id:`anthropic`,label:`Anthropic`,directoryVendor:`Anthropic`},{id:`google`,label:`Google`,directoryVendor:`Google`},{id:`xai`,label:`xAI`,directoryVendor:`xAI`},{id:`deepseek`,label:`DeepSeek`,directoryVendor:`DeepSeek`},{id:`free`,label:`Free`,directoryVendor:null}],B=`Free`,V=[{id:`video`},{id:`image`},{id:`text`},{id:`workflow`}],H=[{id:`minimax-h3`,name:`MiniMax H3`,category:`video`,href:`/minimax-h3-api`,docsPath:`/video-api/minimax-h3`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/minimax-h3.webp`},{id:`minimax-h3-fast`,name:`MiniMax H3 Fast`,category:`video`,href:`/minimax-h3-fast-api`,docsPath:`/video-api/minimax-h3-fast`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/minimax-h3.webp`},{id:`minimax-h3-normal`,name:`MiniMax H3 Normal`,category:`video`,href:`/minimax-h3-normal-api`,docsPath:`/video-api/minimax-h3-normal`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/minimax-h3.webp`,badge:`new`},{id:`minimax-h3-max`,name:`MiniMax H3 Max`,category:`video`,href:`/minimax-h3-max-api`,docsPath:`/video-api/minimax-h3-max`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v1/minimax-h3.webp`,vendor:`MiniMax`,contextLabel:`480P · 768P`,badge:`new`,catalogOnly:!0},{id:`minimax-h3-max-turbo`,name:`MiniMax H3 Max Turbo`,category:`video`,href:`/minimax-h3-max-turbo-api`,docsPath:`/video-api/minimax-h3-max-turbo`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v1/minimax-h3.webp`,vendor:`MiniMax`,contextLabel:`480P · 768P`,badge:`new`,catalogOnly:!0},{id:`grok-imagine-video-1.5`,name:`Grok Imagine Video 1.5`,category:`video`,href:`/grok-imagine-video-1.5-api`,docsPath:`/video-api/grok-imagine-video-1-5`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`image`,`references`],image:`/models/catalog/v1/grok-imagine-video-1-5.webp`},{id:`seedance-2`,name:`Seedance 2.0`,category:`video`,href:`/seedance-2-api`,docsPath:`/video-api/seedance-2`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/seedance-2.webp`},{id:`seedance-2-fast`,name:`Seedance 2.0 Fast`,category:`video`,href:`/seedance-2-fast-api`,docsPath:`/video-api/seedance-2-fast`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`]}
1,{id:`seedance-2-mini`,name:`Seedance 2.0 Mini`,category:`video`,href:`/seedance-2-mini-api`,docsPath:`/video-api/seedance-2-mini`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`]},{id:`wan-3.0`,name:`Wan 3.0`,category:`video`,href:`/wan-3-0-api`,docsPath:`/video-api/wan-3-0`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`],image:`https://media.beatapi.io/models/catalog/v1/wan-3-0.webp`},{id:`wan-3.0-prime`,name:`Wan 3.0 Prime`,category:`video`,href:`/wan-3-0-prime-api`,docsPath:`/video-api/wan-3-0-prime`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`],image:`https://media.beatapi.io/models/catalog/v1/wan-3-0-prime.webp`},{id:`happyhorse-1.0`,name:`HappyHorse 1.0`,category:`video`,href:`/happyhorse-1-0-api`,docsPath:`/video-api/happyhorse-1-0`,endpoint:`/v1/videos/tasks`,inputModes:[`images`,`references`],image:`https://media.beatapi.io/models/catalog/v1/happyhorse-1-0.webp`},{id:`happyhorse-1.1`,name:`HappyHorse 1.1`,category:`video`,href:`/happyhorse-1-1-api`,docsPath:`/video-api/happyhorse-1-1`,endpoint:`/v1/videos/tasks`,inputModes:[`images`,`references`],image:`https://media.beatapi.io/models/catalog/v1/happyhorse-1-1.webp`},{id:`veo-3.1`,name:`Veo 3.1`,category:`video`,href:`/veo-3.1-api`,docsPath:`/video-api/veo-3-1`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/veo-3-1.webp`},{id:`seedance-2.5`,name:`Seedance 2.5`,category:`video`,href:`/seedance-2.5-api`,docsPath:`/video-api/seedance-2-5`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`,`references`],image:`https://media.beatapi.io/models/catalog/v1/seedance-2-5.webp`},{id:`kling-3`,name:`Kling 3.0`,category:`video`,href:`/kling-3-api`,docsPath:`/video-api/kling-3`,endpoint:`/v1/videos/tasks`,inputModes:[`prompt`,`images`,`frames`],image:`/models/catalog/v1/kling-3.webp`},{id:`kling-2.6-motion-control`,name:`Kling 2.6 Motion Control`,category:`video`,href:`/kling-2.6-motion-control-api`,docsPath:`/video-api/kling-2-6-motion-control`,endpoint:`/v1/videos/tasks`,inputModes:[`image`,`video`],image:`/models/catalog/v1/kling-2-6-motion-control.webp`},{id:`kling-3-motion-control`,name:`Kling 3.0 Motion Control`,category:`video`,href:`/kling-3-motion-control-api`,docsPath:`/video-api/kling-3-motion-control`,endpoint:`/v1/videos/tasks`,inputModes:[`image`,`video`],image:`/models/catalog/v1/kling-3-motion-control.webp`},{id:`qwen-image-2.1`,name:`Qwen Image 2.1`,nameZh:`千问图像 2.1`,category:`image`,href:`/qwen-image-2-1-api`,docsPath:`/image-api`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`/models/catalog/v3/qwen-image-2-1-family-v1.webp`,vendor:`Qwen`,badge:`new`},{id:`nano-banana`,name:`Nano Banana`,category:`image`,href:`/nano-banana-api`,docsPath:`/image-api/nano-banana`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v1/nano-banana.webp`},{id:`nano-banana-2`,name:`Nano Banana 2`,category:`image`,href:`/nano-banana-2-api`,docsPath:`/image-api/nano-banana-2`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v2/nano-banana-2.webp`},{id:`nano-banana-2-lite`,name:`Nano Banana 2 Lite`,category:`image`,href:`/nano-banana-2-lite-api`,docsPath:`/image-api/nano-banana-2-lite`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v2/nano-banana-2-lite.webp`},{id:`nano-banana-pro`,name:`Nano Banana Pro`,category:`image`,href:`/nano-banana-pro-api`,docsPath:`/image-api/nano-banana-pro`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v1/nano-banana-pro.webp`},{id:`gpt-image-2.5-flare`,name:`GPT Image 2.5`,category:`image`,href:`/gpt-image-2-5-api`,docsPath:`/image-api`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v2/gpt-image-2-5-family-v3.webp`},{id:`gpt-image-2.5-sunburst`,name:`GPT Image 2.5 Sunburst`,category:`image`,href:`/gpt-image-2-5-api`,docsPath:`/image-api`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v2/gpt-image-2-5-family-v3.webp`},{id:`gpt-image-2`,name:`GPT Image 2`,category:`image`,href:`/gpt-image-2-api`,docsPath:`/image-api/gpt-image-2`,endpoint:`/v1/images/tasks`,inputModes:[`prompt`,`images`],image:`https://media.beatapi.io/models/catalog/v1/gpt-image-2.webp`}
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