数据状态
同步自 OpenRouter Providers · 101 家托管商 · source=openrouter · 2026-08-01T19:40:50.653Z
Venice
总部 美国 · 机房 US
30 模型33 端点日可用 96.8%
托管模型30
端点33
日可用率均96.8%
最低输入 $/M$0.060
最大上下文1M
托管端点 · 33
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dolphin-mistral-24b-venice-edition cognitivecomputations/dolphin-mistral-24b-venice-edition | venice/fp16 | fp16 | 128k | $0.200 | $0.900 | 100.00% | 100.00% | 100.00% | — | — | — |
| qwen3-235b-a22b-thinking-2507 qwen/qwen3-235b-a22b-thinking-2507 | venice/fp8 | fp8 | 128k | $0.450 | $3.50 | 100.00% | 100.00% | 99.96% | — | — | — |
| qwen3.5-35b-a3b qwen/qwen3.5-35b-a3b | venice | — | 256k | $0.313 | $1.25 | — | — | 99.92% | — | — | — |
| glm-5 z-ai/glm-5 | venice/fp8 | fp8 | 198k | $1.00 | $3.20 | — | 97.6% | 99.8% | — | — | — |
| kimi-k2.7-code moonshotai/kimi-k2.7-code | venice/int4 | int4 | 256k | $0.750 | $3.50 | — | — | 99.8% | — | — | — |
| gemma-4-31b-it google/gemma-4-31b-it | venice/bf16 | bf16 | 256k | $0.120 | $0.360 | 99.1% | 99.8% | 99.7% | — | — | — |
| gemma-4-31b-it google/gemma-4-31b-it | venice/bf16 | bf16 | 256k | $0.120 | $0.360 | 99.1% | 99.8% | 99.7% | — | — | — |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | venice/bf16 | bf16 | 256k | $0.130 | $0.400 | 99.1% | 99.2% | 99.7% | — | — | — |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | venice/bf16 | bf16 | 256k | $0.130 | $0.400 | 99.1% | 99.2% | 99.7% | — | — | — |
| glm-4.7 z-ai/glm-4.7 | venice/fp4 | fp4 | 198k | $0.550 | $2.65 | 99.1% | 99.7% | 99.6% | — | — | — |
| glm-4.7-flash z-ai/glm-4.7-flash | venice/fp8 | fp8 | 128k | $0.060 | $0.400 | 100.00% | 99.94% | 99.6% | — | — | — |
| deepseek-v4-flash deepseek/deepseek-v4-flash | venice | — | 1M | $0.138 | $0.275 | 99.6% | 99.5% | 99.5% | — | — | — |
| glm-5.1 z-ai/glm-5.1 | venice/fp8 | fp8 | 200k | $1.54 | $4.84 | 100.00% | 99.0% | 99.4% | — | — | — |
| mistral-small-3.2-24b-instruct mistralai/mistral-small-3.2-24b-instruct | venice/fp8 | fp8 | 256k | $0.094 | $0.250 | 99.9% | 99.7% | 99.4% | — | — | — |
| glm-4.6 z-ai/glm-4.6 | venice/fp4 | fp4 | 198k | $0.430 | $1.75 | 100.00% | 99.1% | 99.3% | — | — | — |
| qwen3.5-397b-a17b qwen/qwen3.5-397b-a17b | venice | — | 128k | $0.750 | $4.50 | — | 100.00% | 99.2% | — | — | — |
| minimax-m3 minimax/minimax-m3 | venice/fp8 | fp8 | 524k | $0.300 | $1.20 | 100.00% | 99.9% | 99.1% | — | — | — |
| mistral-small-2603 mistralai/mistral-small-2603 | venice/fp8 | fp8 | 256k | $0.188 | $0.750 | 100.00% | 97.0% | 99.0% | — | — | — |
| minimax-m2.5 minimax/minimax-m2.5 | venice | — | 198k | $0.270 | $0.950 | — | 96.1% | 98.9% | — | — | — |
| qwen3.6-27b qwen/qwen3.6-27b | venice/fp8 | fp8 | 256k | $0.325 | $3.25 | 100.00% | 100.00% | 98.9% | — | — | — |
| qwen3.5-9b qwen/qwen3.5-9b | venice/fp8 | fp8 | 256k | $0.100 | $0.150 | 100.00% | 99.98% | 98.7% | — | — | — |
| deepseek-v4-pro deepseek/deepseek-v4-pro | venice | — | 1M | $1.65 | $3.30 | 98.4% | 98.1% | 98.5% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | venice/fp8 | fp8 | 1M | $1.40 | $4.40 | 100.00% | 99.5% | 98.3% | — | — | — |
| qwen3-235b-a22b-2507 qwen/qwen3-235b-a22b-2507 | venice/fp8 | fp8 | 128k | $0.150 | $0.750 | 99.7% | 99.8% | 98.2% | — | — | — |
| qwen3-coder qwen/qwen3-coder | venice/fp8 | fp8 | 256k | $0.350 | $1.50 | 100.00% | 99.5% | 96.6% | — | — | — |
| qwen3.6-35b-a3b qwen/qwen3.6-35b-a3b | venice/fp8 | fp8 | 256k | $0.100 | $1.00 | 100.00% | 100.00% | 96.1% | — | — | — |
| kimi-k2.6 moonshotai/kimi-k2.6 | venice/int4 | int4 | 256k | $0.750 | $3.50 | — | 100.00% | 95.9% | — | — | — |
| mimo-v2.5 xiaomi/mimo-v2.5 | venice/fp8 | fp8 | 1M | $0.140 | $0.280 | 34.3% | 86.9% | 95.7% | — | — | — |
| kimi-k2.5 moonshotai/kimi-k2.5 | venice | — | 256k | $0.560 | $3.50 | — | 50.7% | 92.2% | — | — | — |
| qwen3-vl-235b-a22b-instruct qwen/qwen3-vl-235b-a22b-instruct | venice/fp8 | fp8 | 128k | $0.210 | $1.90 | 90.8% | 91.5% | 91.1% | — | — | — |
| deepseek-v3.2 deepseek/deepseek-v3.2 | venice | — | 160k | $0.330 | $0.480 | 79.3% | 85.3% | 84.1% | — | — | — |
| nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | venice/fp8 | fp8 | 256k | $0.625 | $3.13 | — | — | 79.7% | — | — | — |
| nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | venice/fp8 | fp8 | 256k | $0.625 | $3.13 | — | — | 79.7% | — | — | — |
覆盖模型 · 30
dolphin-mistral-24b-venice-editionqwen3-235b-a22b-thinking-2507qwen3.5-35b-a3bglm-5kimi-k2.7-codegemma-4-31b-itgemma-4-26b-a4b-itglm-4.7glm-4.7-flashdeepseek-v4-flashglm-5.1mistral-small-3.2-24b-instructglm-4.6qwen3.5-397b-a17bminimax-m3mistral-small-2603minimax-m2.5qwen3.6-27bqwen3.5-9bdeepseek-v4-proglm-5.2qwen3-235b-a22b-2507qwen3-coderqwen3.6-35b-a3bkimi-k2.6mimo-v2.5kimi-k2.5qwen3-vl-235b-a22b-instructdeepseek-v3.2nemotron-3-ultra-550b-a55b
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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