4,854 个接口 · 11,195 个价格 · 最近采集 9 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。
平台
第 8201–8300 条，共 11,195 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第三方 | inclusionAI: Ling 3.0 Flash VL | $0.012/百万缓存读 | input_cache_read: 0.000000012 / token (endpoint deepinfra/fp16) | |
| OpenRouter第三方 | NVIDIA: Nemotron 3 Nano 30B A3B | $0.012/百万缓存读 | input_cache_read: 0.000000012 / token (endpoint nebius/fp8) | |
| Runware未披露 | Gemma 4 31BPer 1M | $0.012/百万缓存读 | $1.2e-8 / cachedInputToken | |
| OpenRouter官方 | Google: Gemini 3.1 Flash Lite (batch) | $0.013/百万缓存读 | input_cache_read: 0.0000000125 / token (endpoint google-vertex/global) | |
| OpenRouter第三方 | NVIDIA: Nemotron 3.5 Lightningvia Darkbloom · int4 | $0.013/百万缓存读 | input_cache_read: 0.0000000125 / token (endpoint darkbloom/int4) | |
| OpenRouter官方 | OpenAI: GPT-4.1 Nano (batch) | $0.013/百万缓存读 | input_cache_read: 0.0000000125 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-5 Mini (batch) | $0.013/百万缓存读 | input_cache_read: 0.0000000125 / token (endpoint openai) | |
| OpenRouter第三方 | DeepSeek: DeepSeek V4 Flash 0731via Relace · fp4 | $0.014/百万缓存读 | input_cache_read: 0.000000014 / token (endpoint relace/fp4) | |
| Runware未披露 | DeepSeek-V4-Flash-0731Per 1M | $0.014/百万缓存读 | $1.4e-8 / cachedInputToken | |
| KIE未披露 | gpt-6-1-terra | $0.015/百万缓存读 | 3 credits per million tokens ($0.015)平台声称官方或 Fal 价 $0.05/百万缓存读 | |
| OpenRouter官方 | Google: Gemini 3.5 Flash Lite (batch) | $0.015/百万缓存读 | input_audio_cache: 0.000000015 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.5 Flash Lite (batch) | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token (endpoint google-vertex/global) | |
| OpenRouter第三方 | IBM: Granite 4.2 8Bvia CoreWeave · bf16 | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token (endpoint coreweave/bf16) | |
| OpenRouter官方 | Mistral: Ministral 3 8B 2512via Mistral · zdr | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token (endpoint mistral/zdr) | |
| OpenRouter官方 | Mistral: Mistral Small 4via Mistral · zdr | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token (endpoint mistral/zdr) | |
| OpenRouter官方 | Nex AGI: Nex-N2.5-Pro | $0.015/百万缓存读 | input_cache_read: 0.000000015 / token (endpoint nex-agi/fp8) | |
| Runware未披露 | MiniMax M3.1 FlashPer 1M | $0.015/百万缓存读 | $1.5e-8 / cachedInputToken | |
| Aiberm未披露 | Claude Sonnet 5.5 | $0.015/百万缓存读 | model_ratio 0.6522 × $2/M · group default ×0.23 · cache_ratio 0.05 | |
| OpenRouter官方 | Qwen: Qwen3.8 Flashvia Alibaba | $0.016/百万缓存读 | input_cache_read: 0.000000016 / token (endpoint alibaba) | |
| OpenRouter官方 | Qwen: Qwen3.8 Omni Flash | $0.016/百万缓存读 | input_cache_read: 0.000000016 / token (endpoint alibaba) | |
| Aiberm未披露 | GPT-6.1 Terra | $0.016/百万缓存读 | model_ratio 0.35325 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | GPT-4.1 Mini | $0.018/百万缓存读 | model_ratio 0.13 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| OpenRouter第三方 | OpenAI: gpt-oss-20bvia PrimeIntellect · fp4 | $0.019/百万缓存读 | input_cache_read: 0.000000019 / token (endpoint primeintellect/fp4) | |
| Aiberm未披露 | MiMo V2 Flash | $0.019/百万缓存读 | model_ratio 0.21 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | GPT-5.6 Luna | $0.019/百万缓存读 | model_ratio 0.2826 × $2/M · group default ×0.23 · cache_ratio 0.15 | |
| OpenRouter第三方 | Google: Gemma 3 4Bvia Parasail · bf16 | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint parasail/bf16) | |
| OpenRouter官方 | LiquidAI: LFM3-1.7B | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint liquid/fp8) | |
| OpenRouter官方 | Mistral: Ministral 3 14B 2512via Mistral · zdr | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint mistral/zdr) | |
| OpenRouter官方 | Mistral: Sabavia Mistral · zdr | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint mistral/zdr) | |
| OpenRouter官方合作 | OpenAI: GPT-5.4 Nanovia Azure | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Lunavia Amazon Bedrock · global | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | OpenAI: GPT-5.6 Luna Provia Azure | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint azure) | |
| OpenRouter官方 | 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; endpoint openai) | |
| OpenRouter官方 | 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; endpoint openai) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Luna提示词超过 272Kvia Amazon Bedrock · global | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000; endpoint amazon-bedrock/global) | |
| OpenRouter官方合作 | OpenAI: GPT-6 Luna Pro提示词超过 272Kvia OpenAI | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000; endpoint openai) | |
| OpenRouter官方 | Qwen: Qwen3.7 Flash提示词超过 32Kvia Alibaba | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>32000; endpoint alibaba) | |
| OpenRouter第三方 | Z.ai: GLM 5.3 Flash (batch)via Morph · fp8 | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (endpoint morph/fp8) | |
| OpenRouter未披露 | OpenAI: GPT Luna Latest提示词超过 272K | $0.02/百万缓存读 | input_cache_read: 0.00000002 / token (>272000) | |
| Runware未披露 | GPT-5.6 LunaPer 1M | $0.02/百万缓存读 | $2e-8 / cachedInputToken | |
| Runware未披露 | GPT-6 Luna> 272K context | $0.02/百万缓存读 | $2e-8 / cachedInputToken · > 272K context | |
| OpenRouter第三方 | Tencent: Hy3off-peak 1600–0000 UTC · via Tencent · fp8 | $0.021/百万缓存读 | input_cache_read: 0.000000020625 / token (utc_start 1600, utc_end 0; endpoint tencent/fp8) | |
| Aiberm未披露 | DeepSeek V3.2 | $0.021/百万缓存读 | model_ratio 0.45 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | DeepSeek V3.2 Exp | $0.021/百万缓存读 | model_ratio 0.45 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | DeepSeek V3.2 Exp Thinking | $0.021/百万缓存读 | model_ratio 0.45 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | GPT-5 Mini | $0.021/百万缓存读 | model_ratio 0.15 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| OpenRouter第三方 | DeepSeek: DeepSeek V4 Pro 0813via Baidu · fp8 | $0.021/百万缓存读 | input_cache_read: 0.000000020958 / token (endpoint baidu/fp8) | |
| OpenRouter第三方 | Qwen: Qwen3.6 35B A3Bvia PrimeIntellect · fp8 | $0.021/百万缓存读 | input_cache_read: 0.000000021 / token (endpoint primeintellect/fp8) | |
| OpenRouter官方 | Tencent: Hy4 | $0.021/百万缓存读 | input_cache_read: 0.000000021 / token (endpoint tencent/fp4) | |
| OpenRouter第三方 | DeepSeek: DeepSeek V3.2via GMICloud · fp8 | $0.022/百万缓存读 | input_cache_read: 0.0000000216 / token (endpoint gmicloud/fp8) | |
| OpenRouter官方 | Nex AGI: Nex-N2.6 | $0.024/百万缓存读 | input_cache_read: 0.000000024 / token (endpoint nex-agi/fp8) | |
| OpenRouter官方 | Anthropic: Claude Haiku 5.5 (batch)提示词超过 100K | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (>100000; endpoint anthropic) | |
| OpenRouter官方 | Google: Gemini 3.1 Flash Litevia Google AI Studio | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 3.1 Flash Lite Previewvia Google AI Studio | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 3.1 Flash Lite (batch) | $0.025/百万缓存读 | input_audio_cache: 0.000000025 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | LiquidAI: LFM2.5-24B-A2B | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint liquid/fp8) | |
| OpenRouter官方 | OpenAI: GPT-6.1 Terra Pro (batch) | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-6.1 Terra (batch) | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint openai) | |
| OpenRouter第三方 | Qwen: Qwen3.6 27Bvia Chutes · fp8 | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint chutes/fp8) | |
| OpenRouter第三方 | Ricursive: Ripple 65B Previewvia PrimeIntellect · bf16 | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint primeintellect/bf16) | |
| OpenRouter第三方 | Z.ai: GLM 4.5 Airvia Novita · bf16 | $0.025/百万缓存读 | input_cache_read: 0.000000025 / token (endpoint novita/bf16) | |
| Aiberm未披露 | GPT-5.1 Codex Max | $0.028/百万缓存读 | model_ratio 0.6 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | DeepSeek V4 Flash | $0.029/百万缓存读 | model_ratio 0.3126 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| KIE未披露 | gpt-6-1-sol | $0.03/百万缓存读 | 6 credits per million tokens ($0.03)平台声称官方或 Fal 价 $0.1/百万缓存读 | |
| OpenRouter官方 | Google: Gemini 2.5 Flashvia Google AI Studio | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Nano Banana (Gemini 2.5 Flash Image) | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token | |
| OpenRouter官方 | Google: Gemini 2.5 Flash Litevia Google AI Studio | $0.03/百万缓存读 | input_audio_cache: 0.00000003 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 3.5 Flash Litevia Google AI Studio | $0.03/百万缓存读 | input_audio_cache: 0.00000003 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Google: Gemini 3.5 Flash Litevia Google AI Studio | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint google-ai-studio) | |
| OpenRouter官方 | Inference.net: Schematron V2 Turbovia InferenceNet · bf16 | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint inference-net/bf16) | |
| OpenRouter第三方 | MiniMax: MiniMax M2.5via Venice | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint venice) | |
| OpenRouter官方 | Mistral: Codestral 2508via Mistral | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint mistral) | |
| OpenRouter官方合作 | OpenAI: GPT-4.1 Nanovia Azure | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5 Minivia Azure | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint azure) | |
| OpenRouter官方合作 | OpenAI: GPT-5.1-Codex-Mini | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token | |
| OpenRouter官方 | Pareto 26.10 | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token | |
| OpenRouter未披露 | Upstage: Solar Pro 4via Upstage · zdr | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint upstage/zdr) | |
| OpenRouter未披露 | Z.ai: GLM 5.3 Flashvia Relace · fp4 | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token (endpoint relace/fp4) | |
| OpenRouter未披露 | Pareto Latest | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token | |
| OpenRouter未披露 | Z.ai: GLM Flash Latest | $0.03/百万缓存读 | input_cache_read: 0.00000003 / token | |
| Runware未披露 | Gemini 3.5 Flash-LitePer 1M | $0.03/百万缓存读 | $3e-8 / cachedInputToken | |
| Runware未披露 | GLM-5.3-FlashPer 1M | $0.03/百万缓存读 | $3e-8 / cachedInputToken | |
| Aiberm未披露 | Claude Sonnet 5 | $0.03/百万缓存读 | model_ratio 0.6522 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| OpenRouter第三方 | Meta: Muse Glimmer 30B (batch) | $0.032/百万缓存读 | input_cache_read: 0.000000032 / token (endpoint deepinfra/bf16) | |
| OpenRouter第三方 | OpenAI: gpt-oss-120bvia PrimeIntellect · fp4 | $0.032/百万缓存读 | input_cache_read: 0.000000032 / token (endpoint primeintellect/fp4) | |
| OpenRouter第三方 | Qwen: Qwen3.5-35B-A3Bvia Darkbloom · fp4 | $0.033/百万缓存读 | input_cache_read: 0.0000000325 / token (endpoint darkbloom/fp4) | |
| OpenRouter第三方 | Tencent: Hy3peak 0000–1600 UTC · via Tencent · fp8 | $0.033/百万缓存读 | input_cache_read: 0.000000033 / token (utc_start 0, utc_end 1600; endpoint tencent/fp8) | |
| OpenRouter未披露 | DeepSeek: DeepSeek V4 Flash Latest | $0.035/百万缓存读 | input_cache_read: 0.000000035 / token | |
| Runware未披露 | gpt-oss-safeguard-20bPer 1M | $0.035/百万缓存读 | $3.5e-8 / cachedInputToken | |
| OpenRouter官方 | Xiaomi: MiMo-V2.6-Pro-UltraSpeed | $0.036/百万缓存读 | input_cache_read: 0.000000036 / token (endpoint xiaomi/fp8) | |
| OpenRouter官方 | Google: Gemini 3.6 Flash (batch) | $0.038/百万缓存读 | input_audio_cache: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.6 Flash (batch) | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.7 Flash (batch) | $0.038/百万缓存读 | input_audio_cache: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.7 Flash (batch) | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.8 Flash (batch) | $0.038/百万缓存读 | input_audio_cache: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | Google: Gemini 3.8 Flash (batch) | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint google-vertex/global) | |
| OpenRouter官方 | OpenAI: GPT-4o-mini (batch) | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint openai) | |
| OpenRouter官方 | OpenAI: GPT-5.4 Mini (batch) | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint openai) | |
| OpenRouter第三方 | OpenAI: gpt-oss-safeguard-20b | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token | |
| OpenRouter第三方 | PrismML: Ternary Bonsai 2 27B | $0.038/百万缓存读 | input_cache_read: 0.0000000375 / token (endpoint darkbloom/int4) |
