4,854 个接口 · 11,195 个价格 · 最近采集 2 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 1–100 条，共 218 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 |
|---|---|---|---|---|
| Aiberm未披露 | DeepSeek V4.1 Flash | $0.0024/百万缓存读最低 | model_ratio 0.26087 × $2/M · group default ×0.23 · cache_ratio 0.02 | |
| KIE未披露 | DeepSeek V4.1 Flash | $0.0025/百万缓存读 | 0.5 credits per million tokens ($0.0025) | |
| KIE未披露 | gpt-6-luna | $0.003/百万缓存读 | 0.6 credits per million tokens ($0.003)平台声称官方或 Fal 价 $0.01/百万缓存读 | |
| OpenRouter未披露 | DeepSeek: DeepSeek Flash Latest | $0.005/百万缓存读 | input_cache_read: 0.000000005 / token | |
| KIE未披露 | gpt-5.6-luna | $0.0056/百万缓存读 | 1.12 credits per million tokens ($0.0056)平台声称官方或 Fal 价 $0.02/百万缓存读 | |
| Aiberm未披露 | GPT-4o Mini | $0.0069/百万缓存读 | model_ratio 0.05 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| Aiberm未披露 | Claude Haiku 5.5 | $0.0074/百万缓存读 | model_ratio 0.16 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| OpenRouter未披露 | Anthropic: Claude Haiku Latest | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| OpenRouter未披露 | OpenAI: GPT Luna Latest | $0.01/百万缓存读 | input_cache_read: 0.00000001 / token | |
| Runware未披露 | Claude Haiku 5.5≤ 100K context | $0.01/百万缓存读 | $1e-8 / cachedInputToken · ≤ 100K context | |
| Runware未披露 | DeepSeek-V4.1-FlashPer 1M | $0.01/百万缓存读 | $1e-8 / cachedInputToken | |
| Runware未披露 | DeepSeek-V4.1-Flash-1017Per 1M | $0.01/百万缓存读 | $1e-8 / cachedInputToken | |
| Runware未披露 | GPT-6 Luna≤ 272K context | $0.01/百万缓存读 | $1e-8 / cachedInputToken · ≤ 272K context | |
| Aiberm未披露 | Claude Haiku 4.5 | $0.012/百万缓存读 | model_ratio 0.25 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Haiku 4.5 20251001 | $0.012/百万缓存读 | model_ratio 0.25 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Haiku 4.5 20251001 Thinking | $0.012/百万缓存读 | model_ratio 0.25 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Runware未披露 | Gemma 4 31BPer 1M | $0.012/百万缓存读 | $1.2e-8 / cachedInputToken | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| Aiberm未披露 | GPT-6 Sol | $0.039/百万缓存读 | model_ratio 0.5652 × $2/M · group default ×0.23 · cache_ratio 0.15 | |
| Aiberm未披露 | GPT-6.1 Sol | $0.039/百万缓存读 | model_ratio 0.5652 × $2/M · group default ×0.23 · cache_ratio 0.15 | |
| Aiberm未披露 | Claude Opus 5.5 | $0.04/百万缓存读 | model_ratio 0.8688 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Haiku 4.5 | $0.04/百万缓存读 | model_ratio 0.875 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Haiku 4.5 Thinking | $0.04/百万缓存读 | model_ratio 0.875 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Sonnet 4.5 20250929 | $0.045/百万缓存读 | model_ratio 0.9775 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Sonnet 4.5 20250929 Thinking | $0.045/百万缓存读 | model_ratio 0.9775 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Sonnet 4.6 | $0.045/百万缓存读 | model_ratio 0.9775 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Sonnet 4.6 Thinking | $0.045/百万缓存读 | model_ratio 0.9775 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Runware未披露 | Shieldstral 1.0 3BPer 1M | $0.045/百万缓存读 | $4.5e-8 / cachedInputToken | |
| Aiberm未披露 | Gemini 4 Argon | $0.046/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | GPT-5.6 Terra | $0.049/百万缓存读 | model_ratio 0.7065 × $2/M · group default ×0.23 · cache_ratio 0.15 | |
| Aiberm未披露 | Claude Opus 5 | $0.05/百万缓存读 | model_ratio 1.086 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| OpenRouter未披露 | Anthropic: Claude Haiku Latest提示词超过 100K | $0.05/百万缓存读 | input_cache_read: 0.00000005 / token (>100000) | |
| OpenRouter未披露 | OpenAI: GPT Terra Latest | $0.05/百万缓存读 | input_cache_read: 0.00000005 / token | |
| Runware未披露 | Claude Haiku 5.5> 100K context | $0.05/百万缓存读 | $5e-8 / cachedInputToken · > 100K context | |
| Runware未披露 | GPT-6.1 Terra≤ 272K context | $0.05/百万缓存读 | $5e-8 / cachedInputToken · ≤ 272K context | |
| Aiberm未披露 | GPT-5.3 Codex | $0.054/百万缓存读 | model_ratio 0.39 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| Aiberm未披露 | GPT-5.3 Codex | $0.054/百万缓存读 | model_ratio 0.39 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| KIE未披露 | gpt-5.6-terra | $0.056/百万缓存读 | 11.2 credits per million tokens ($0.056)平台声称官方或 Fal 价 $0.2/百万缓存读 | |
| KIE未披露 | gpt-6-sol | $0.06/百万缓存读 | 12 credits per million tokens ($0.06)平台声称官方或 Fal 价 $0.2/百万缓存读 | |
| OpenRouter未披露 | Motif Technologies: Motif 3 | $0.06/百万缓存读 | input_cache_read: 0.00000006 / token (endpoint kt) | |
| Runware未披露 | MiniMax M3≤ 512K context | $0.06/百万缓存读 | $6e-8 / cachedInputToken · ≤ 512K context | |
| OpenRouter未披露 | Z.ai: GLM Latest | $0.069/百万缓存读 | input_cache_read: 0.0000000689 / token | |
| Aiberm未披露 | Qwen3.5 Plus | $0.069/百万缓存读 | model_ratio 0.75 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Qwen3.6 Plus | $0.069/百万缓存读 | model_ratio 0.75 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Claude Sonnet 5.5 | $0.072/百万缓存读 | model_ratio 3.1304 × $2/M · group default ×0.23 · cache_ratio 0.05 | |
| Aiberm未披露 | Claude Opus 4.5 20251101 | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Opus 4.5 20251101 Thinking | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Opus 4.6 | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Opus 4.6 Thinking | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Opus 4.7 | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | Claude Opus 4.8 | $0.075/百万缓存读 | model_ratio 1.629 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| OpenRouter未披露 | Google: Gemini Flash Latest | $0.075/百万缓存读 | input_audio_cache: 0.000000075 / token | |
| OpenRouter未披露 | Google: Gemini Flash Latest | $0.075/百万缓存读 | input_cache_read: 0.000000075 / token | |
| OpenRouter未披露 | OpenAI: GPT Mini Latest | $0.075/百万缓存读 | input_cache_read: 0.000000075 / token | |
| Runware未披露 | Gemini 3.7 FlashPer 1M | $0.075/百万缓存读 | $7.5e-8 / cachedInputToken | |
| Runware未披露 | Gemini 3.8 FlashPer 1M | $0.075/百万缓存读 | $7.5e-8 / cachedInputToken | |
| Aiberm未披露 | o3 Mini | $0.076/百万缓存读 | model_ratio 0.55 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| Runware未披露 | DeepSeek-V4-Pro-0813Per 1M | $0.079/百万缓存读 | $7.9e-8 / cachedInputToken | |
| KIE未披露 | Kimi K3.1 Pro | $0.08/百万缓存读 | 16 credits per million tokens ($0.08)平台声称官方或 Fal 价 $0.2/百万缓存读 | |
| Aiberm未披露 | Kimi K2.5 | $0.083/百万缓存读 | model_ratio 0.9 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Kimi K2.6 | $0.083/百万缓存读 | model_ratio 0.9 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | GPT-5.2 Codex | $0.083/百万缓存读 | model_ratio 0.6 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| Aiberm未披露 | Kimi K2.5 | $0.083/百万缓存读 | model_ratio 0.9 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Kimi K2.5 Thinking | $0.083/百万缓存读 | model_ratio 0.9 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | GPT-5.2 Codex | $0.083/百万缓存读 | model_ratio 0.6 × $2/M · group default ×0.23 · cache_ratio 0.3 | |
| Aiberm未披露 | Claude Sonnet | $0.088/百万缓存读 | model_ratio 1.917 × $2/M · group default ×0.23 · cache_ratio 0.1 | |
| Aiberm未披露 | MiniMax M2.7 | $0.091/百万缓存读 | model_ratio 0.9852 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Gemini 3.5 Flash | $0.092/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Gemini 3.6 Flash | $0.092/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Gemini 3.7 Flash | $0.092/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Gemini 3.8 Flash | $0.092/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | MiMo V2 Omni | $0.092/百万缓存读 | model_ratio 1 × $2/M · group default ×0.23 · cache_ratio 0.2 | |
| Aiberm未披露 | Grok 4.5 | $0.095/百万缓存读 | model_ratio 0.8261 × $2/M · group default ×0.23 · cache_ratio 0.25 | |
| Aiberm未披露 | Grok 4.6 | $0.095/百万缓存读 | model_ratio 0.8261 × $2/M · group default ×0.23 · cache_ratio 0.25 |
