数据状态
同步自 OpenRouter Providers · 109 家托管商 · source=openrouter · 2026-09-18T19:56:55.559Z
StreamLake
总部 中国
23 模型30 端点日可用 98.1%
托管模型23
端点30
日可用率均98.1%
最低输入 $/M$0.048
最大上下文1.0M
托管端点 · 30
来自 OpenRouter 各模型 Endpoints API：同一模型可能有多量化 / 多区域端点。
| 模型 | Tag | 量化 | 上下文 | 输入 | 输出 | 5m | 30m | 1d | 延迟 | 吞吐 | 缓存 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| deepseek-v3.1-terminus deepseek/deepseek-v3.1-terminus | streamlake | — | 128k | $0.343 | $1.03 | 100.00% | 100.00% | 99.6% | — | — | — |
| glm-5 z-ai/glm-5 | streamlake/fp8 | fp8 | 198k | $0.600 | $1.92 | 100.00% | 99.5% | 99.6% | — | — | — |
| minimax-m2.5 minimax/minimax-m2.5 | streamlake | — | 200k | $0.270 | $1.08 | 100.00% | 99.5% | 99.6% | — | — | — |
| kimi-k2.7-code moonshotai/kimi-k2.7-code | streamlake | — | 256k | $0.712 | $3.00 | — | 100.00% | 99.6% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | streamlake/fp8 | fp8 | 1.0M | $0.556 | $1.75 | 99.7% | 99.7% | 99.5% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | streamlake/fp8 | fp8 | 1.0M | $0.556 | $1.75 | 99.7% | 99.7% | 99.5% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | streamlake/fp8 | fp8 | 1.0M | $0.556 | $1.75 | 99.7% | 99.7% | 99.5% | — | — | — |
| glm-5.1 z-ai/glm-5.1 | streamlake/fp8 | fp8 | 200k | $0.966 | $3.04 | 99.3% | 99.8% | 99.4% | — | — | — |
| deepseek-v4-pro-0813 deepseek/deepseek-v4-pro-0813 | streamlake | — | 1.0M | $0.579 | $1.74 | 99.4% | 99.4% | 99.4% | — | — | — |
| deepseek-v4-pro-0813 deepseek/deepseek-v4-pro-0813 | streamlake | — | 1.0M | $0.579 | $1.74 | 99.4% | 99.4% | 99.4% | — | — | — |
| deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | streamlake/fp8 | fp8 | 1.0M | $0.282 | $1.13 | 99.6% | 99.5% | 99.3% | — | — | — |
| deepseek-v4-pro deepseek/deepseek-v4-pro | streamlake/fp8 | fp8 | 1.0M | $0.818 | $1.64 | 99.6% | 99.6% | 99.2% | — | — | — |
| deepseek-r1-0528 deepseek/deepseek-r1-0528 | streamlake | — | 128k | $0.571 | $2.29 | 100.00% | 99.8% | 99.2% | — | — | — |
| deepseek-v3.2 deepseek/deepseek-v3.2 | streamlake/fp8 | fp8 | 128k | $0.214 | $0.322 | 99.8% | 99.7% | 99.1% | — | — | — |
| qwen3-coder-next qwen/qwen3-coder-next | streamlake | — | 256k | $0.180 | $0.900 | — | 100.00% | 99.1% | — | — | — |
| minimax-m3 minimax/minimax-m3 | streamlake/fp8 | fp8 | 1M | $0.300 | $1.20 | 99.6% | 99.6% | 99.0% | — | — | — |
| minimax-m3 minimax/minimax-m3 | streamlake/fp8 | fp8 | 1M | $0.300 | $1.20 | 99.6% | 99.6% | 99.0% | — | — | — |
| glm-5.3-flash z-ai/glm-5.3-flash | streamlake/fp8 | fp8 | 1.0M | $0.141 | $0.470 | 99.4% | 99.3% | 98.5% | — | — | — |
| glm-5.3-flash z-ai/glm-5.3-flash | streamlake/fp8 | fp8 | 1.0M | $0.141 | $0.470 | 99.4% | 99.3% | 98.5% | — | — | — |
| qwen3-30b-a3b-instruct-2507 qwen/qwen3-30b-a3b-instruct-2507 | streamlake | — | 128k | $0.048 | $0.193 | 99.2% | 99.1% | 98.3% | — | — | — |
| kimi-k2.6 moonshotai/kimi-k2.6 | streamlake/fp8 | fp8 | 256k | $0.598 | $2.52 | 98.9% | 97.8% | 98.0% | — | — | — |
| qwen3-235b-a22b-2507 qwen/qwen3-235b-a22b-2507 | streamlake | — | 128k | $0.210 | $0.840 | 98.3% | 99.0% | 98.0% | — | — | — |
| deepseek-v4-flash deepseek/deepseek-v4-flash | streamlake/fp8 | fp8 | 1.0M | $0.049 | $0.098 | 97.9% | 98.3% | 97.6% | — | — | — |
| deepseek-chat deepseek/deepseek-chat | streamlake | — | 128k | $0.257 | $1.03 | 98.9% | 98.7% | 97.4% | — | — | — |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | streamlake/fp8 | fp8 | 1.0M | $0.055 | $0.165 | 98.0% | 98.0% | 97.1% | — | — | — |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | streamlake/fp8 | fp8 | 1.0M | $0.055 | $0.165 | 98.0% | 98.0% | 97.1% | — | — | — |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | streamlake/fp8 | fp8 | 1.0M | $0.055 | $0.165 | 98.0% | 98.0% | 97.1% | — | — | — |
| qwen3.5-397b-a17b qwen/qwen3.5-397b-a17b | streamlake | — | 256k | $0.600 | $3.60 | 95.8% | 93.9% | 97.0% | — | — | — |
| mimo-v2.5-pro xiaomi/mimo-v2.5-pro | streamlake | — | 1M | $0.522 | $1.04 | 94.7% | 92.6% | 93.6% | — | — | — |
| mimo-v2.5 xiaomi/mimo-v2.5 | streamlake | — | 1M | $0.168 | $0.336 | 97.4% | 93.6% | 86.1% | — | — | — |
覆盖模型 · 23
deepseek-v3.1-terminusglm-5minimax-m2.5kimi-k2.7-codeglm-5.2glm-5.1deepseek-v4-pro-0813deepseek-v4.1-flashdeepseek-v4-prodeepseek-r1-0528deepseek-v3.2qwen3-coder-nextminimax-m3glm-5.3-flashqwen3-30b-a3b-instruct-2507kimi-k2.6qwen3-235b-a22b-2507deepseek-v4-flashdeepseek-chatdeepseek-v4-flash-0731qwen3.5-397b-a17bmimo-v2.5-promimo-v2.5
元数据与端点观测同步自 OpenRouter 公开 API。GrokCode 不做路由转发；自建测速请用 API 实验室。
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