数据状态
同步自 OpenRouter Providers · 117 家托管商 · source=openrouter · 2026-11-03T21:45:41.711Z
Venice
总部 美国 · 机房 US
37 模型46 端点日可用 95.9%
托管模型37
端点46
日可用率均95.9%
最低输入 $/M$0.030
最大上下文1.0M
托管端点 · 46
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-v4-flash deepseek/deepseek-v4-flash | venice | — | 1M | $0.097 | $0.193 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | venice/bf16 | bf16 | 256k | $0.130 | $0.400 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | venice/bf16 | bf16 | 256k | $0.130 | $0.400 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| glm-5.3-flash z-ai/glm-5.3-flash | venice | — | 1.0M | $0.150 | $0.500 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| glm-5.3-flash z-ai/glm-5.3-flash | venice | — | 1.0M | $0.150 | $0.500 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| 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% | — | — | — |
| deepseek-v4.1-flash-1017 deepseek/deepseek-v4.1-flash-1017 | venice/fp8 | fp8 | 1M | $0.300 | $1.20 | — | 100.00% | 100.00% | — | — | 是 |
| deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | venice/fp8 | fp8 | 1M | $0.300 | $1.20 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | venice/fp8 | fp8 | 1M | $0.300 | $1.20 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| qwen3.8-27b qwen/qwen3.8-27b | venice/fp8 | fp8 | 262k | $0.450 | $3.20 | — | 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% | 100.00% | — | — | — |
| kimi-k2.7-code moonshotai/kimi-k2.7-code | venice/int4 | int4 | 256k | $0.750 | $3.50 | — | — | 100.00% | — | — | 是 |
| glm-5 z-ai/glm-5 | venice/turbo | — | 200k | $1.20 | $4.00 | 100.00% | 100.00% | 100.00% | — | — | 是 |
| gemma-4-31b-it google/gemma-4-31b-it | venice/fp4 | fp4 | 256k | $0.120 | $0.360 | 100.00% | 100.00% | 99.93% | — | — | 是 |
| gemma-4-31b-it google/gemma-4-31b-it | venice/fp4 | fp4 | 256k | $0.120 | $0.360 | 100.00% | 100.00% | 99.93% | — | — | 是 |
| qwen3.5-35b-a3b qwen/qwen3.5-35b-a3b | venice | — | 256k | $0.150 | $1.00 | 100.00% | 100.00% | 99.8% | — | — | 是 |
| minimax-m2.5 minimax/minimax-m2.5 | venice | — | 198k | $0.270 | $0.950 | 100.00% | 100.00% | 99.8% | — | — | 是 |
| qwen3-235b-a22b-2507 qwen/qwen3-235b-a22b-2507 | venice/fp8 | fp8 | 128k | $0.150 | $0.750 | 100.00% | 100.00% | 99.8% | — | — | — |
| kimi-k2.5 moonshotai/kimi-k2.5 | venice | — | 256k | $0.532 | $3.32 | 100.00% | 100.00% | 99.8% | — | — | 是 |
| qwen3.8-2.4t-a95b qwen/qwen3.8-2.4t-a95b | venice | — | 262k | $2.00 | $6.00 | — | — | 99.8% | — | — | 是 |
| qwen3.6-35b-a3b qwen/qwen3.6-35b-a3b | venice/fp8 | fp8 | 256k | $0.100 | $1.00 | 100.00% | 100.00% | 99.7% | — | — | — |
| nemotron-3.5-super-vl nvidia/nemotron-3.5-super-vl | venice/fp4 | fp4 | 262k | $0.200 | $0.500 | 100.00% | 100.00% | 99.7% | — | — | 是 |
| nemotron-3.5-super-vl nvidia/nemotron-3.5-super-vl | venice/fp4 | fp4 | 262k | $0.200 | $0.500 | 100.00% | 100.00% | 99.7% | — | — | 是 |
| qwen3.6-27b qwen/qwen3.6-27b | venice/fp8 | fp8 | 256k | $0.325 | $3.25 | 100.00% | 100.00% | 99.7% | — | — | — |
| mistral-small-3.2-24b-instruct mistralai/mistral-small-3.2-24b-instruct | venice/fp8 | fp8 | 256k | $0.094 | $0.250 | 100.00% | 100.00% | 99.6% | — | — | — |
| deepseek-v4-pro-0813 deepseek/deepseek-v4-pro-0813 | venice | — | 1M | $1.65 | $4.95 | 100.00% | 100.00% | 99.1% | — | — | 是 |
| minimax-m3 minimax/minimax-m3 | venice/fp8 | fp8 | 524k | $0.300 | $1.20 | 100.00% | 100.00% | 99.0% | — | — | 是 |
| nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | venice/fp8 | fp8 | 256k | $0.625 | $3.13 | 100.00% | 100.00% | 99.0% | — | — | 是 |
| nemotron-3-ultra-550b-a55b nvidia/nemotron-3-ultra-550b-a55b | venice/fp8 | fp8 | 256k | $0.625 | $3.13 | 100.00% | 100.00% | 99.0% | — | — | 是 |
| glm-4.6 z-ai/glm-4.6 | venice/fp4 | fp4 | 198k | $0.430 | $1.75 | — | 46.7% | 98.9% | — | — | 是 |
| glm-5.3 z-ai/glm-5.3 | venice | — | 1M | $1.40 | $4.40 | 100.00% | 100.00% | 98.3% | — | — | 是 |
| glm-5.3 z-ai/glm-5.3 | venice | — | 1M | $1.40 | $4.40 | 100.00% | 100.00% | 98.3% | — | — | 是 |
| glm-5 z-ai/glm-5 | venice/fp8 | fp8 | 198k | $1.00 | $3.20 | — | 100.00% | 98.2% | — | — | 是 |
| qwen3.5-397b-a17b qwen/qwen3.5-397b-a17b | venice | — | 128k | $0.750 | $4.50 | — | — | 97.6% | — | — | — |
| gpt-oss-120b openai/gpt-oss-120b | venice/int4 | int4 | 128k | $0.030 | $0.150 | 100.00% | 100.00% | 97.5% | — | — | 是 |
| gpt-oss-120b openai/gpt-oss-120b | venice/int4 | int4 | 128k | $0.030 | $0.150 | 100.00% | 100.00% | 97.5% | — | — | 是 |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | venice | — | 1M | $0.130 | $0.260 | 100.00% | 100.00% | 97.1% | — | — | 是 |
| glm-5.1 z-ai/glm-5.1 | venice/fp8 | fp8 | 200k | $1.40 | $4.40 | — | — | 95.5% | — | — | 是 |
| qwen3-vl-235b-a22b-instruct qwen/qwen3-vl-235b-a22b-instruct | venice/fp8 | fp8 | 128k | $0.210 | $1.90 | 100.00% | 100.00% | 95.3% | — | — | 是 |
| glm-5.2 z-ai/glm-5.2 | venice/fp8 | fp8 | 1M | $1.40 | $4.40 | 100.00% | 100.00% | 95.1% | — | — | 是 |
| deepseek-v4-pro deepseek/deepseek-v4-pro | venice | — | 1M | $1.65 | $3.30 | — | 33.3% | 90.8% | — | — | 是 |
| glm-4.7 z-ai/glm-4.7 | venice/fp4 | fp4 | 198k | $0.400 | $1.93 | 100.00% | 90.5% | 86.4% | — | — | 是 |
| qwen3-coder qwen/qwen3-coder | venice/fp8 | fp8 | 256k | $0.350 | $1.50 | 100.00% | 80.0% | 83.1% | — | — | 是 |
| mimo-v2.6-flash xiaomi/mimo-v2.6-flash | venice/fp8 | fp8 | 1M | $0.175 | $0.350 | 20.0% | 70.0% | 68.8% | — | — | 是 |
| kimi-k2.6 moonshotai/kimi-k2.6 | venice/int4 | int4 | 256k | $0.750 | $3.50 | 100.00% | 100.00% | 62.4% | — | — | 是 |
| mimo-v2.5 xiaomi/mimo-v2.5 | venice/fp8 | fp8 | 1M | $0.400 | $2.00 | 0.0% | 0.0% | 55.8% | — | — | 是 |
覆盖模型 · 37
deepseek-v4-flashgemma-4-26b-a4b-itglm-5.3-flashdolphin-mistral-24b-venice-editiondeepseek-v4.1-flash-1017deepseek-v4.1-flashqwen3.8-27bqwen3-235b-a22b-thinking-2507kimi-k2.7-codeglm-5gemma-4-31b-itqwen3.5-35b-a3bminimax-m2.5qwen3-235b-a22b-2507kimi-k2.5qwen3.8-2.4t-a95bqwen3.6-35b-a3bnemotron-3.5-super-vlqwen3.6-27bmistral-small-3.2-24b-instructdeepseek-v4-pro-0813minimax-m3nemotron-3-ultra-550b-a55bglm-4.6glm-5.3qwen3.5-397b-a17bgpt-oss-120bdeepseek-v4-flash-0731glm-5.1qwen3-vl-235b-a22b-instructglm-5.2deepseek-v4-proglm-4.7qwen3-codermimo-v2.6-flashkimi-k2.6mimo-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。
관련 도구
Clavue CLI / imux IDE / clavue-2.1
Clavue · CLI 与 Agent 平台
CLI / GUI Agent 运行时、设备登录、会员额度与通用对话 API（api.clavue.com）。开发脚本、CI 与本地工具一条链路。
打开 Clavue ↗imux · 原生 macOS AI IDE
Clavue 平台的原生 IDE：多 Agent 分屏、Ghostty 级终端、Agent Chat、浏览器自动化与 Supervisor——不是又一个 Electron 壳。
了解 imux ↗Clavue 2.1 · 产品级大模型
旗舰模型 clavue-2.1（及 fast / pro / rev）：适合复杂推理与长程 Agent 循环。Chat、imux、API 共用会员额度。
查看模型 ↗