4,854 个接口 · 11,195 个价格 · 最近采集 10 小时前 · 30 天内 442 条需关注的调价
每个平台公布的每一个价格
采集器定时抓取 10 个平台公开的全部价格（默认每日一次），并完整保存原始页面快照，绝无任何手工篡改。搜索具体模型，即可查看当前各单位下的最低价格。
第 201–300 条，共 327 条
每百万缓存读取 token100
| 平台 | 模型 · 计价项 | 美元 | 平台原文 | 生效于 |
|---|---|---|---|---|
| OpenRouter官方合作 | OpenAI: GPT-6.1 Sol Pro提示词超过 272Kvia Azure | $0.2/百万缓存读 | input_cache_read: 0.0000002 / token (>272000; endpoint azure) | |
| OpenRouter官方 | SpaceXAI: Grok 4.20via xAI · zdr | $0.2/百万缓存读 | input_cache_read: 0.0000002 / token (endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.20 Multi-Agentvia xAI · zdr | $0.2/百万缓存读 | input_cache_read: 0.0000002 / token (endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.3via xAI · zdr | $0.2/百万缓存读 | input_cache_read: 0.0000002 / token (endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok Build 0.1via xAI | $0.2/百万缓存读 | input_cache_read: 0.0000002 / token (endpoint xai) | |
| OpenRouter官方 | Z.ai: GLM 5 Turbo | $0.24/百万缓存读 | input_cache_read: 0.00000024 / token (endpoint z-ai) | |
| OpenRouter官方 | Z.ai: GLM 5V Turbo | $0.24/百万缓存读 | input_cache_read: 0.00000024 / token (endpoint z-ai/fp8) | |
| OpenRouter官方合作 | Anthropic: Claude Fable 5.1via Azure | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint azure) | |
| OpenRouter官方 | Anthropic: Claude Opus 4.5 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint anthropic) | |
| OpenRouter官方 | Anthropic: Claude Opus 4.6 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint anthropic) | |
| OpenRouter官方 | Anthropic: Claude Opus 4.7 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint anthropic) | |
| OpenRouter官方 | Anthropic: Claude Opus 4.8 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint anthropic) | |
| OpenRouter官方 | Anthropic: Claude Opus 5 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint anthropic) | |
| OpenRouter官方 | Google: Gemini 2.5 Pro提示词超过 200Kvia Google AI Studio | $0.25/百万缓存读 | input_audio_cache: 0.00000025 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 2.5 Pro提示词超过 200Kvia Google AI Studio | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 2.5 Pro Preview 06-05提示词超过 200Kvia Google AI Studio | $0.25/百万缓存读 | input_audio_cache: 0.00000025 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 2.5 Pro Preview 06-05提示词超过 200Kvia Google AI Studio | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方 | OpenAI: GPT-4.1 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-5 Image Mini | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token | |
| OpenRouter官方合作 | OpenAI: GPT-5.4via Azure | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint azure) | |
| OpenRouter官方 | OpenAI: GPT-5.4 (batch)提示词超过 272K | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (>272000; endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-5.5 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: o3 (batch) | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint openai) | |
| OpenRouter官方 | Qwen: Qwen3.8 Max (0902)via Alibaba | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint alibaba) | |
| OpenRouter官方 | Sakana: Fugu Max | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint sakana) | |
| OpenRouter官方 | Pareto 26.9 | $0.25/百万缓存读 | input_cache_read: 0.00000025 / token (endpoint unbiased) | |
| OpenRouter官方 | OpenAI: o3 Mini (batch) | $0.275/百万缓存读 | input_cache_read: 0.000000275 / token (endpoint openai) | |
| OpenRouter官方 | Qwen: Qwen3.7 Maxvia Alibaba | $0.295/百万缓存读 | input_cache_read: 0.000000295 / token (endpoint alibaba) | |
| OpenRouter官方合作 | Anthropic: Claude Sonnet 4.5via Claude Platform on AWS | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (endpoint claude-on-aws) | |
| OpenRouter官方 | Anthropic: Claude Sonnet 4.5 (batch)提示词超过 200K | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (>200000; endpoint anthropic) | |
| OpenRouter官方合作 | Anthropic: Claude Sonnet 4.6via Claude Platform on AWS | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (endpoint claude-on-aws) | |
| OpenRouter官方 | Fireworks: Ember-1 | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (endpoint fireworks) | |
| OpenRouter官方 | Google: Gemini 3.5 Flashvia Google · global | $0.3/百万缓存读 | input_audio_cache: 0.0000003 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Mancer: Weaver (alpha) | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (endpoint mancer/fp8) | |
| OpenRouter官方 | SpaceXAI: Grok 4.5via xAI · zdr | $0.3/百万缓存读 | input_cache_read: 0.0000003 / token (endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.3 (batch)提示词超过 200K | $0.32/百万缓存读 | input_cache_read: 0.00000032 / token (>200000; endpoint xai) | |
| OpenRouter官方 | Google: Gemini 3.1 Pro Preview提示词超过 200Kvia Google · global | $0.4/百万缓存读 | input_audio_cache: 0.0000004 / token (>200000; endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.1 Pro Preview提示词超过 200Kvia Google · global | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.1 Pro Preview Custom Tools提示词超过 200K | $0.4/百万缓存读 | input_audio_cache: 0.0000004 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 3.1 Pro Preview Custom Tools提示词超过 200K | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint google-ai-studio) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Solvia Amazon Bedrock · global | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Sol Provia Azure | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (endpoint azure) | |
| OpenRouter官方 | OpenAI: GPT-5.6 Sol Pro (batch)提示词超过 272K | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-5.6 Sol (batch)提示词超过 272K | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint openai) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Terra提示词超过 272Kvia Azure | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Terra Pro提示词超过 272Kvia Azure | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Sol提示词超过 272Kvia Amazon Bedrock · global | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Sol Pro提示词超过 272Kvia OpenAI | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>272000; endpoint openai) | |
| OpenRouter官方 | SpaceXAI: Grok 4.20提示词超过 200Kvia xAI · zdr | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.20 Multi-Agent提示词超过 200Kvia xAI · zdr | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.3提示词超过 200Kvia xAI · zdr | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint xai/zdr) | |
| OpenRouter官方 | SpaceXAI: Grok 4.6 (batch) | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (endpoint xai) | |
| OpenRouter官方 | SpaceXAI: Grok 4.7 (batch) | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (endpoint xai) | |
| OpenRouter官方 | SpaceXAI: Grok Build 0.1提示词超过 200Kvia xAI | $0.4/百万缓存读 | input_cache_read: 0.0000004 / token (>200000; endpoint xai) | |
| OpenRouter官方 | Anthropic: Claude Fable 5 (batch) | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint anthropic) | |
| OpenRouter官方合作 | Anthropic: Claude Opus 4.5via Claude Platform on AWS | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | Anthropic: Claude Opus 4.6via Claude Platform on AWS | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | Anthropic: Claude Opus 4.7via Claude Platform on AWS | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | Anthropic: Claude Opus 4.8via Claude Platform on AWS | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | Anthropic: Claude Opus 5via Claude Platform on AWS | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | OpenAI: GPT-4.1via Azure | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5.4提示词超过 272Kvia Azure | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (>272000; endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5.5via Azure | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint azure) | |
| OpenRouter官方 | OpenAI: GPT-5.5 (batch)提示词超过 272K | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (>272000; endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-6 Astra Pro (batch) | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-6 Astra (batch) | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT Chat Latest | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: o3 | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint openai) | |
| OpenRouter官方 | Qwen: Qwen3.8 Max Prime | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint alibaba) | |
| OpenRouter官方 | Sakana: Fugu Ultra | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint sakana) | |
| OpenRouter官方 | Sakana: Fugu Ultra v2 | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint sakana) | |
| OpenRouter官方合作 | SpaceXAI: Grok 4.6via xAI · zdr | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint xai/zdr) | |
| OpenRouter官方合作 | SpaceXAI: Grok 4.7via Amazon Bedrock · global | $0.5/百万缓存读 | input_cache_read: 0.0000005 / token (endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | Anthropic: Claude Sonnet 4.5提示词超过 200Kvia Claude Platform on AWS | $0.6/百万缓存读 | input_cache_read: 0.0000006 / token (>200000; endpoint claude-on-aws) | |
| OpenRouter官方 | SpaceXAI: Grok 4.5提示词超过 200Kvia xAI · zdr | $0.6/百万缓存读 | input_cache_read: 0.0000006 / token (>200000; endpoint xai/zdr) | |
| OpenRouter官方 | Amazon: Nova Premier 1.0 | $0.625/百万缓存读 | input_cache_read: 0.000000625 / token (endpoint amazon-bedrock) | |
| OpenRouter官方 | OpenAI: GPT-4o (batch) | $0.625/百万缓存读 | input_cache_read: 0.000000625 / token (endpoint openai) | |
| OpenRouter官方 | AionLabs: Aion-3.0 | $0.75/百万缓存读 | input_cache_read: 0.00000075 / token (endpoint aion-labs) | |
| OpenRouter官方 | AionLabs: Aion 3.5 | $0.75/百万缓存读 | input_cache_read: 0.00000075 / token (endpoint aion-labs) | |
| OpenRouter官方 | Anthropic: Claude Opus 4.1 (batch) | $0.75/百万缓存读 | input_cache_read: 0.00000075 / token (endpoint anthropic) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Sol提示词超过 272Kvia Amazon Bedrock · global | $0.8/百万缓存读 | input_cache_read: 0.0000008 / token (>272000; endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Sol Pro提示词超过 272Kvia Azure | $0.8/百万缓存读 | input_cache_read: 0.0000008 / token (>272000; endpoint azure) | |
| OpenRouter官方 | SpaceXAI: Grok 4.6 (batch)提示词超过 200K | $0.8/百万缓存读 | input_cache_read: 0.0000008 / token (>200000; endpoint xai) | |
| OpenRouter官方 | SpaceXAI: Grok 4.7 (batch)提示词超过 200K | $0.8/百万缓存读 | input_cache_read: 0.0000008 / token (>200000; endpoint xai) | |
| APIMart官方 | gpt-image-1-officialtext input | $1/百万缓存读 | 10 Credits/M ~$1/M平台声称官方价 $1.25/百万缓存读会员价: platinum $0.95 · diamond $0.9 | |
| APIMart官方 | gpt-image-1.5-officialtext input | $1/百万缓存读 | 10 Credits/M ~$1/M平台声称官方价 $1.25/百万缓存读会员价: platinum $0.95 · diamond $0.9 | |
| APIMart官方 | gpt-image-2-officialtext input | $1/百万缓存读 | 10 Credits/M ~$1/M平台声称官方价 $1.25/百万缓存读会员价: platinum $0.95 · diamond $0.9 | |
| OpenRouter官方合作 | Anthropic: Claude Fable 5via Claude Platform on AWS | $1/百万缓存读 | input_cache_read: 0.000001 / token (endpoint claude-on-aws) | |
| OpenRouter官方合作 | OpenAI: GPT-5.5提示词超过 272Kvia Azure | $1/百万缓存读 | input_cache_read: 0.000001 / token (>272000; endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Astravia Azure | $1/百万缓存读 | input_cache_read: 0.000001 / token (endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Astra Provia Azure | $1/百万缓存读 | input_cache_read: 0.000001 / token (endpoint azure) | |
| OpenRouter官方 | OpenAI: GPT-6 Astra Pro (batch)提示词超过 272K | $1/百万缓存读 | input_cache_read: 0.000001 / token (>272000; endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-6 Astra (batch)提示词超过 272K | $1/百万缓存读 | input_cache_read: 0.000001 / token (>272000; endpoint openai) | |
| OpenRouter官方 | Sakana: Fugu Ultra提示词超过 272K | $1/百万缓存读 | input_cache_read: 0.000001 / token (>272000; endpoint sakana) | |
| OpenRouter官方 | Sakana: Fugu Ultra v2提示词超过 272K | $1/百万缓存读 | input_cache_read: 0.000001 / token (>272000; endpoint sakana) | |
| OpenRouter官方合作 | SpaceXAI: Grok 4.6提示词超过 200Kvia xAI · zdr | $1/百万缓存读 | input_cache_read: 0.000001 / token (>200000; endpoint xai/zdr) | |
| OpenRouter官方合作 | SpaceXAI: Grok 4.7提示词超过 200Kvia Amazon Bedrock · global | $1/百万缓存读 | input_cache_read: 0.000001 / token (>200000; endpoint amazon-bedrock/global) | |
| Fal官方合作 | GPT Image 2 APItext | $1.25/百万缓存读 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Flare Edit图生图与编辑text | $1.25/百万缓存读 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a | |
| Fal官方合作 | GPT Image 2.5 Flare Text to Image文生图text | $1.25/百万缓存读 | Text tokens (per 1M): $5.00 input, $1.25 cached, $10.00 output. Image tokens (per 1M): $8.00 input, $2.00 cached, $30.00 output. Changing the quality parameter significantly affects cost; by default we use high. Adjust it to your preference. See the description at the bottom of this page for more details on how much canonical image sizes cost. Total cost is rounded up to the closest hundredth of a |
