4,154 个模型 · 8,429 个价格 · 最近采集 7 小时前 · 30 天内 36 条需关注的调价
每个平台公布的每一个价格
采集器定时读取 6 个平台公开的全部价格（默认每天一次），并保存读到的原始页面。没有任何手工录入。搜索一个模型，就能看到现在按单位谁最便宜。
模型
Gemini 
Claude 
Qwen 
GLM 
Mistral 
DeepSeek 
Kimi 
Llama 
Nemotron 
Hunyuan 
MiniMax 第 1101–1200 条，共 1,895 条
每百万输出 token35
| 平台 | 模型 · 计价项 | 美元 | 平台原文 | 生效于 |
|---|---|---|---|---|
| OpenRouter | OpenAI: GPT-5.6 Sol Pro提示词超过 272K | $30/百万输出 | completion: 0.00003 / token (>272000) | |
| OpenRouter | OpenAI: GPT Chat Latest | $30/百万输出 | completion: 0.00003 / token | |
| OpenRouter | Sakana: Fugu Ultra | $30/百万输出 | completion: 0.00003 / token | |
| OpenRouter | Sakana: Fugu Ultra v2 | $30/百万输出 | completion: 0.00003 / token | |
| OpenRouter | Anthropic: Claude Opus 4.1 (batch) | $37.5/百万输出 | completion: 0.0000375 / token | |
| OpenRouter | OpenAI: GPT-6 Astra Pro (batch)提示词超过 272K | $37.5/百万输出 | completion: 0.0000375 / token (>272000) | |
| OpenRouter | OpenAI: GPT-6 Astra (batch)提示词超过 272K | $37.5/百万输出 | completion: 0.0000375 / token (>272000) | |
| OpenRouter | OpenAI: GPT-5.5提示词超过 272K | $45/百万输出 | completion: 0.000045 / token (>272000) | |
| OpenRouter | Sakana: Fugu Ultra提示词超过 272K | $45/百万输出 | completion: 0.000045 / token (>272000) | |
| OpenRouter | Sakana: Fugu Ultra v2提示词超过 272K | $45/百万输出 | completion: 0.000045 / token (>272000) | |
| OpenRouter | Anthropic: Claude Fable 5 | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | Anthropic: Claude Fable 5.1 | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | OpenAI: GPT-6 Astra | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | OpenAI: GPT-6 Astra Pro | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | Anthropic: Claude Fable Latest | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | OpenAI: GPT Astra Latest | $50/百万输出 | completion: 0.00005 / token | |
| OpenRouter | OpenAI: GPT-4 | $60/百万输出 | completion: 0.00006 / token | |
| OpenRouter | OpenAI: GPT-5 Pro (batch) | $60/百万输出 | completion: 0.00006 / token | |
| OpenRouter | OpenAI: GPT Audio | $64/百万输出 | audio_output: 0.000064 / token | |
| OpenRouter | Anthropic: Claude Opus 4.1 | $75/百万输出 | completion: 0.000075 / token | |
| OpenRouter | OpenAI: GPT-6 Astra提示词超过 272K | $75/百万输出 | completion: 0.000075 / token (>272000) | |
| OpenRouter | OpenAI: GPT-6 Astra Pro提示词超过 272K | $75/百万输出 | completion: 0.000075 / token (>272000) | |
| OpenRouter | OpenAI: GPT Astra Latest提示词超过 272K | $75/百万输出 | completion: 0.000075 / token (>272000) | |
| OpenRouter | OpenAI: o3 Pro | $80/百万输出 | completion: 0.00008 / token | |
| OpenRouter | OpenAI: GPT-5.2 Pro (batch) | $84/百万输出 | completion: 0.000084 / token | |
| OpenRouter | OpenAI: GPT-5.4 Pro (batch) | $90/百万输出 | completion: 0.00009 / token | |
| OpenRouter | OpenAI: GPT-5.5 Pro (batch) | $90/百万输出 | completion: 0.00009 / token | |
| OpenRouter | OpenAI: GPT-5 Pro | $120/百万输出 | completion: 0.00012 / token | |
| OpenRouter | OpenAI: GPT-5.4 Pro (batch)提示词超过 272K | $135/百万输出 | completion: 0.000135 / token (>272000) | |
| OpenRouter | OpenAI: GPT-5.5 Pro (batch)提示词超过 272K | $135/百万输出 | completion: 0.000135 / token (>272000) | |
| OpenRouter | OpenAI: GPT-5.2 Pro | $168/百万输出 | completion: 0.000168 / token | |
| OpenRouter | OpenAI: GPT-5.4 Pro | $180/百万输出 | completion: 0.00018 / token | |
| OpenRouter | OpenAI: GPT-5.5 Pro | $180/百万输出 | completion: 0.00018 / token | |
| OpenRouter | OpenAI: GPT-5.4 Pro提示词超过 272K | $270/百万输出 | completion: 0.00027 / token (>272000) | |
| OpenRouter | OpenAI: GPT-5.5 Pro提示词超过 272K | $270/百万输出 | completion: 0.00027 / token (>272000) |
每百万缓存读取 token65
| 平台 | 模型 · 计价项 | 美元 | 平台原文 | 生效于 |
|---|---|---|---|---|
| OpenRouter | DeepSeek: DeepSeek V4.1 Flash 1017 (batch) | $0.002/百万缓存读最低 | input_cache_read: 0.000000002 / token | |
| OpenRouter | DeepSeek: DeepSeek V4.1 Flash (batch) | $0.002/百万缓存读最低 | input_cache_read: 0.000000002 / token | |
| OpenRouter | Meta: Muse Spark 1.2 Contributor | $0.002/百万缓存读最低 | input_cache_read: 0.000000002 / token | |
| OpenRouter | Meta: Muse Spark 1.3 Contributor | $0.002/百万缓存读最低 | input_cache_read: 0.000000002 / token | |
| OpenRouter | Nex AGI: Nex-N2.5-Mini | $0.0025/百万缓存读 | input_cache_read: 0.0000000025 / token | |
| OpenRouter | OpenAI: GPT-5 Nano (batch) | $0.0025/百万缓存读 | input_cache_read: 0.0000000025 / token | |
| OpenRouter | Xiaomi: MiMo-V2.6-Flash | $0.0028/百万缓存读 | input_cache_read: 0.0000000028 / token | |
| OpenRouter | inclusionAI: Ling 3.0 Tiny | $0.003/百万缓存读 | input_cache_read: 0.000000003 / token | |
| OpenRouter | Particle AI: Particle-1 | $0.003/百万缓存读 | input_cache_read: 0.000000003 / token | |
| OpenRouter | Xiaomi: MiMo-V2.6-Pro | $0.0036/百万缓存读 | input_cache_read: 0.0000000036 / token | |
| OpenRouter | inclusionAI: Ling 3.0 Flash | $0.0042/百万缓存读 | input_cache_read: 0.0000000042 / token | |
| OpenRouter | Anthropic: Claude Haiku 5.5 (batch) | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | DeepSeek: DeepSeek V4.1 Flash 1017 | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | OpenAI: GPT-5 Nano | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | OpenAI: GPT-6 Luna Pro (batch) | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | OpenAI: GPT-6 Luna (batch) | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | Upstage: Solar Mini 4 | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | Z.ai: GLM 5.2 | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | DeepSeek: DeepSeek Flash Latest | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| OpenRouter | Meituan: LongCat 2.0 | $0.006/百万缓存读 | input_cache_read: 0.000000006 / token | |
| OpenRouter | Qwen: Qwen3.7 Flash | $0.006/百万缓存读 | input_cache_read: 0.000000006 / token | |
| OpenRouter | inclusionAI: Ling 3.1 Flash | $0.009/百万缓存读 | input_cache_read: 0.000000009 / token | |
| OpenRouter | Anthropic: Claude Haiku 5.5 | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | Google: Gemini 2.5 Flash Lite | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | Mistral: Ministral 3 3B 2512 | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | Mistral: Voxtral Small 24B 2507 | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-5.4 Nano (batch) | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-5.6 Luna Pro (batch) | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-5.6 Luna (batch) | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-6 Luna | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-6 Luna Pro | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT-6 Luna Pro (batch)提示词超过 272K | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token (>272000) | |
| OpenRouter | OpenAI: GPT-6 Luna (batch)提示词超过 272K | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token (>272000) | |
| OpenRouter | Z.ai: GLM 5.3 Flash (batch) | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | Anthropic: Claude Haiku Latest | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | OpenAI: GPT Luna Latest | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter | DeepSeek: DeepSeek V4 Flash 0731 (batch) | $0.012/百万缓存读 | input_cache_read: 0.000000012 / token | |
| OpenRouter | inclusionAI: Ling 3.0 Flash VL | $0.012/百万缓存读 | input_cache_read: 0.000000012 / token | |
| OpenRouter | NVIDIA: Nemotron 3 Nano 30B A3B | $0.012/百万缓存读 | input_cache_read: 0.000000012 / token | |
| OpenRouter | Google: Gemini 3.1 Flash Lite (batch) | $0.0125/百万缓存读 | input_cache_read: 0.0000000125 / token | |
| OpenRouter | OpenAI: GPT-4.1 Nano (batch) | $0.0125/百万缓存读 | input_cache_read: 0.0000000125 / token | |
| OpenRouter | OpenAI: GPT-5 Mini (batch) | $0.0125/百万缓存读 | input_cache_read: 0.0000000125 / token | |
| OpenRouter | DeepSeek: DeepSeek V4 Flash Vision Exp | $0.014/百万缓存读 | input_cache_read: 0.000000014 / token | |
| OpenRouter | Google: Gemini 3.5 Flash Lite (batch) | $0.015/百万缓存读 | input_audio_cache: 0.000000015 / token | |
| OpenRouter | Google: Gemini 3.5 Flash Lite (batch) | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | IBM: Granite 4.2 8B | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | MiniMax: MiniMax M3.1 Flash | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | Mistral: Ministral 3 8B 2512 | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | Mistral: Mistral Small 4 | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | Nex AGI: Nex-N2.5-Pro | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token | |
| OpenRouter | Qwen: Qwen3.8 Flash | $0.016/百万缓存读 | input_cache_read: 0.000000016 / token | |
| OpenRouter | Qwen: Qwen3.8 Omni Flash | $0.016/百万缓存读 | input_cache_read: 0.000000016 / token | |
| OpenRouter | DeepSeek: DeepSeek V4.1 Flash | $0.018/百万缓存读 | input_cache_read: 0.000000018 / token | |
| OpenRouter | DeepSeek: DeepSeek V4 Flash 0423 | $0.0182/百万缓存读 | input_cache_read: 0.0000000182 / token | |
| OpenRouter | DeepSeek: DeepSeek V4 Pro 0423 | $0.0192705/百万缓存读 | input_cache_read: 0.0000000192705 / token | |
| OpenRouter | LiquidAI: LFM3-1.7B | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | Mistral: Ministral 3 14B 2512 | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | Mistral: Saba | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | NVIDIA: Nemotron 3.5 Super VL | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | OpenAI: GPT-5.4 Nano | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | OpenAI: GPT-5.6 Luna | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | OpenAI: GPT-5.6 Luna Pro | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token | |
| OpenRouter | OpenAI: GPT-5.6 Luna Pro (batch)提示词超过 272K | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000) | |
| OpenRouter | OpenAI: GPT-5.6 Luna (batch)提示词超过 272K | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000) | |
| OpenRouter | OpenAI: GPT-6 Luna提示词超过 272K | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000) |
