数据状态
同步自 OpenRouter Providers · 109 家托管商 · source=openrouter · 2026-09-21T07:51:46.032Z
Novita
总部 美国
71 模型84 端点日可用 98.4%
托管模型71
端点84
日可用率均98.4%
最低输入 $/M$0.020
最大上下文1.0M
托管端点 · 84
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| minimax-m2 minimax/minimax-m2 | novita/fp8 | fp8 | 205k | $0.300 | $1.20 | — | — | 100.00% | — | — | — |
| ernie-4.5-vl-424b-a47b baidu/ernie-4.5-vl-424b-a47b | novita/fp16 | fp16 | 123k | $0.420 | $1.25 | — | — | 100.00% | — | — | — |
| minimax-m1 minimax/minimax-m1 | novita/bf16 | bf16 | 1M | $0.550 | $2.20 | — | — | 100.00% | — | — | — |
| kimi-k2-0905 moonshotai/kimi-k2-0905 | novita/fp8 | fp8 | 262k | $0.600 | $2.50 | 100.00% | 100.00% | 100.00% | — | — | — |
| wizardlm-2-8x22b microsoft/wizardlm-2-8x22b | novita/bf16 | bf16 | 66k | $0.620 | $0.620 | 100.00% | 100.00% | 100.00% | — | — | — |
| deepseek-r1 deepseek/deepseek-r1 | novita/fp8 | fp8 | 64k | $0.700 | $2.50 | 100.00% | 100.00% | 100.00% | — | — | — |
| deepseek-r1-distill-llama-70b deepseek/deepseek-r1-distill-llama-70b | novita/bf16 | bf16 | 8k | $0.800 | $0.800 | — | — | 100.00% | — | — | — |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | novita/fp8 | fp8 | 1.0M | $0.409 | $1.23 | 100.00% | 100.00% | 100.00% | — | — | — |
| deepseek-v4-flash-0731 deepseek/deepseek-v4-flash-0731 | novita/fp8 | fp8 | 1.0M | $0.409 | $1.23 | 100.00% | 100.00% | 100.00% | — | — | — |
| deepseek-v3.2 deepseek/deepseek-v3.2 | novita/fp8 | fp8 | 164k | $0.269 | $0.400 | 100.00% | 100.00% | 100.00% | — | — | — |
| glm-5 z-ai/glm-5 | novita/fp8 | fp8 | 203k | $1.00 | $3.20 | 100.00% | 100.00% | 100.00% | — | — | — |
| l3-lunaris-8b sao10k/l3-lunaris-8b | novita/bf16 | bf16 | 8k | $0.050 | $0.050 | 100.00% | 100.00% | 100.00% | — | — | — |
| deepseek-v3.1-terminus deepseek/deepseek-v3.1-terminus | novita/fp8 | fp8 | 131k | $0.270 | $1.00 | 100.00% | 100.00% | 100.00% | — | — | — |
| kimi-k2 moonshotai/kimi-k2 | novita/fp8 | fp8 | 131k | $0.570 | $2.30 | 100.00% | 100.00% | 99.99% | — | — | — |
| nemotron-3-nano-30b-a3b nvidia/nemotron-3-nano-30b-a3b | novita/fp4 | fp4 | 262k | $0.050 | $0.200 | 100.00% | 100.00% | 99.99% | — | — | — |
| ling-3.0-flash inclusionai/ling-3.0-flash | novita | — | 262k | $0.021 | $0.063 | 100.00% | 100.00% | 99.99% | — | — | — |
| deepseek-chat-v3.1 deepseek/deepseek-chat-v3.1 | novita/fp8 | fp8 | 131k | $0.270 | $1.00 | 100.00% | 99.99% | 99.99% | — | — | — |
| kimi-k2.7-code moonshotai/kimi-k2.7-code | novita/int4 | int4 | 262k | $0.912 | $3.84 | — | — | 99.99% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | novita/fp8 | fp8 | 1.0M | $0.650 | $2.04 | 99.91% | 99.97% | 99.98% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | novita/fp8 | fp8 | 1.0M | $0.650 | $2.04 | 99.91% | 99.97% | 99.98% | — | — | — |
| glm-5.2 z-ai/glm-5.2 | novita/fp8 | fp8 | 1.0M | $0.650 | $2.04 | 99.91% | 99.97% | 99.98% | — | — | — |
| deepseek-v4-flash deepseek/deepseek-v4-flash | novita/fp8 | fp8 | 1.0M | $0.140 | $0.280 | 99.98% | 99.96% | 99.98% | — | — | — |
| gpt-oss-20b openai/gpt-oss-20b | novita/fp4 | fp4 | 131k | $0.040 | $0.150 | 100.00% | 100.00% | 99.97% | — | — | — |
| deepseek-v4-pro-0813 deepseek/deepseek-v4-pro-0813 | novita/fp8 | fp8 | 1.0M | $0.990 | $2.97 | 100.00% | 100.00% | 99.97% | — | — | — |
| deepseek-v4-pro-0813 deepseek/deepseek-v4-pro-0813 | novita/fp8 | fp8 | 1.0M | $0.990 | $2.97 | 100.00% | 100.00% | 99.97% | — | — | — |
| qwen3.8-2.4t-a95b qwen/qwen3.8-2.4t-a95b | novita | — | 1M | $2.00 | $6.00 | 100.00% | 100.00% | 99.96% | — | — | — |
| qwen3.8-2.4t-a95b qwen/qwen3.8-2.4t-a95b | novita | — | 1M | $2.00 | $6.00 | 100.00% | 100.00% | 99.96% | — | — | — |
| qwen3-next-80b-a3b-instruct qwen/qwen3-next-80b-a3b-instruct | novita/bf16 | bf16 | 131k | $0.150 | $1.50 | — | — | 99.96% | — | — | — |
| qwen3.5-27b qwen/qwen3.5-27b | novita/bf16 | bf16 | 262k | $0.300 | $2.40 | 100.00% | 100.00% | 99.96% | — | — | — |
| llama-4-scout meta-llama/llama-4-scout | novita/bf16 | bf16 | 131k | $0.180 | $0.590 | 99.91% | 99.9% | 99.93% | — | — | — |
| minimax-m3 minimax/minimax-m3 | novita/fp8 | fp8 | 1M | $0.300 | $1.20 | 100.00% | 99.95% | 99.9% | — | — | — |
| minimax-m3 minimax/minimax-m3 | novita/fp8 | fp8 | 1M | $0.300 | $1.20 | 100.00% | 99.95% | 99.9% | — | — | — |
| minimax-m2.5 minimax/minimax-m2.5 | novita/fp8 | fp8 | 205k | $0.300 | $1.20 | — | — | 99.9% | — | — | — |
| deepseek-v4-pro deepseek/deepseek-v4-pro | novita/fp8 | fp8 | 1.0M | $1.60 | $3.20 | 100.00% | 100.00% | 99.8% | — | — | — |
| hy3 tencent/hy3 | novita | — | 262k | $0.140 | $0.580 | — | 100.00% | 99.8% | — | — | — |
| qwen3.8-27b qwen/qwen3.8-27b | novita | — | 1M | $0.420 | $3.00 | 100.00% | 99.9% | 99.8% | — | — | — |
| qwen3.8-27b qwen/qwen3.8-27b | novita | — | 1M | $0.420 | $3.00 | 100.00% | 99.9% | 99.8% | — | — | — |
| deepseek-v4.1-flash deepseek/deepseek-v4.1-flash | novita/fp8 | fp8 | 1.0M | $0.285 | $1.14 | 100.00% | 100.00% | 99.8% | — | — | — |
| qwen3.5-122b-a10b qwen/qwen3.5-122b-a10b | novita/bf16 | bf16 | 262k | $0.400 | $3.20 | 100.00% | 100.00% | 99.8% | — | — | — |
| glm-5.1 z-ai/glm-5.1 | novita/fp8 | fp8 | 205k | $1.38 | $4.40 | 100.00% | 99.6% | 99.8% | — | — | — |
| deepseek-r1-0528 deepseek/deepseek-r1-0528 | novita/fp8 | fp8 | 164k | $0.700 | $2.50 | — | — | 99.7% | — | — | — |
| glm-4.5-air z-ai/glm-4.5-air | novita/bf16 | bf16 | 131k | $0.130 | $0.850 | 100.00% | 99.8% | 99.7% | — | — | — |
| llama-3.3-70b-instruct meta-llama/llama-3.3-70b-instruct | novita/bf16 | bf16 | 12k | $0.135 | $0.400 | 99.1% | 99.7% | 99.7% | — | — | — |
| llama-4-maverick meta-llama/llama-4-maverick | novita/fp8 | fp8 | 1.0M | $0.270 | $0.850 | 100.00% | 94.5% | 99.7% | — | — | — |
| glm-4.6v z-ai/glm-4.6v | novita/bf16 | bf16 | 131k | $0.300 | $0.900 | 100.00% | 99.2% | 99.6% | — | — | — |
| kimi-k2.5 moonshotai/kimi-k2.5 | novita | — | 262k | $0.570 | $2.85 | 99.4% | 99.0% | 99.6% | — | — | — |
| llama-3.1-8b-instruct meta-llama/llama-3.1-8b-instruct | novita/fp8 | fp8 | 16k | $0.020 | $0.050 | 99.92% | 99.90% | 99.6% | — | — | — |
| deepseek-v3.2-exp deepseek/deepseek-v3.2-exp | novita/fp8 | fp8 | 164k | $0.270 | $0.410 | 100.00% | 99.9% | 99.6% | — | — | — |
| step-3.7-flash stepfun/step-3.7-flash | novita/fp8 | fp8 | 262k | $0.200 | $1.15 | — | 99.7% | 99.6% | — | — | — |
| kimi-k2-thinking moonshotai/kimi-k2-thinking | novita/bf16 | bf16 | 262k | $0.600 | $2.50 | — | 100.00% | 99.6% | — | — | — |
| qwen3-vl-235b-a22b-thinking qwen/qwen3-vl-235b-a22b-thinking | novita/bf16 | bf16 | 131k | $0.980 | $3.95 | — | — | 99.6% | — | — | — |
| qwen3-coder-next qwen/qwen3-coder-next | novita/fp8 | fp8 | 262k | $0.200 | $1.50 | — | 99.0% | 99.6% | — | — | — |
| kimi-k2.6 moonshotai/kimi-k2.6 | novita | — | 262k | $0.800 | $3.40 | 100.00% | 99.8% | 99.5% | — | — | — |
| glm-4.6 z-ai/glm-4.6 | novita/bf16 | bf16 | 205k | $0.550 | $2.20 | 100.00% | 99.7% | 99.5% | — | — | — |
| mimo-v2.5-pro xiaomi/mimo-v2.5-pro | novita | — | 1.0M | $0.480 | $0.960 | 100.00% | 99.2% | 99.5% | — | — | — |
| minimax-m2.7 minimax/minimax-m2.7 | novita/fp8 | fp8 | 205k | $0.270 | $1.08 | 100.00% | 100.00% | 99.4% | — | — | — |
| deepseek-v4-flash-vision-exp deepseek/deepseek-v4-flash-vision-exp | novita | — | 1.0M | $0.440 | $1.32 | 100.00% | 100.00% | 99.3% | — | — | — |
| deepseek-v4-flash-vision-exp deepseek/deepseek-v4-flash-vision-exp | novita | — | 1.0M | $0.440 | $1.32 | 100.00% | 100.00% | 99.3% | — | — | — |
| glm-5.3-flash z-ai/glm-5.3-flash | novita/fp8 | fp8 | 1.0M | $0.132 | $0.440 | 99.4% | 99.5% | 99.2% | — | — | — |
| glm-5.3-flash z-ai/glm-5.3-flash | novita/fp8 | fp8 | 1.0M | $0.132 | $0.440 | 99.4% | 99.5% | 99.2% | — | — | — |
| l3.1-euryale-70b sao10k/l3.1-euryale-70b | novita/fp8 | fp8 | 8k | $1.45 | $1.45 | — | — | 99.2% | — | — | — |
| qwen3-235b-a22b-thinking-2507 qwen/qwen3-235b-a22b-thinking-2507 | novita/fp8 | fp8 | 131k | $0.300 | $3.00 | — | — | 99.2% | — | — | — |
| glm-4.7 z-ai/glm-4.7 | novita/fp8 | fp8 | 205k | $0.540 | $1.98 | 99.7% | 99.7% | 99.0% | — | — | — |
| qwen3.5-397b-a17b qwen/qwen3.5-397b-a17b | novita | — | 262k | $0.600 | $3.60 | — | 98.1% | 99.0% | — | — | — |
| mimo-v2.5 xiaomi/mimo-v2.5 | novita/fp8 | fp8 | 1.0M | $0.168 | $0.336 | 100.00% | 99.0% | 99.0% | — | — | — |
| qwen3-vl-30b-a3b-instruct qwen/qwen3-vl-30b-a3b-instruct | novita/bf16 | bf16 | 131k | $0.200 | $0.700 | 99.5% | 99.5% | 99.0% | — | — | — |
| qwen3-235b-a22b-2507 qwen/qwen3-235b-a22b-2507 | novita/fp8 | fp8 | 131k | $0.090 | $0.580 | 100.00% | 99.2% | 98.7% | — | — | — |
| minimax-m2.1 minimax/minimax-m2.1 | novita/fp8 | fp8 | 205k | $0.300 | $1.20 | — | — | 98.7% | — | — | — |
| qwen3-coder-30b-a3b-instruct qwen/qwen3-coder-30b-a3b-instruct | novita/fp8 | fp8 | 160k | $0.070 | $0.270 | 99.3% | 96.6% | 98.5% | — | — | — |
| qwen3-vl-235b-a22b-instruct qwen/qwen3-vl-235b-a22b-instruct | novita/bf16 | bf16 | 131k | $0.300 | $1.50 | 97.4% | 99.4% | 97.6% | — | — | — |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | novita/bf16 | bf16 | 262k | $0.130 | $0.400 | 99.91% | 99.9% | 97.6% | — | — | — |
| gemma-4-26b-a4b-it google/gemma-4-26b-a4b-it | novita/bf16 | bf16 | 262k | $0.130 | $0.400 | 99.91% | 99.9% | 97.6% | — | — | — |
| glm-4.5v z-ai/glm-4.5v | novita/fp8 | fp8 | 66k | $0.600 | $1.80 | — | — | 97.4% | — | — | — |
| glm-5.3 z-ai/glm-5.3 | novita/fp8 | fp8 | 1.0M | $0.867 | $2.72 | 100.00% | 99.98% | 97.2% | — | — | — |
| glm-5.3 z-ai/glm-5.3 | novita/fp8 | fp8 | 1.0M | $0.867 | $2.72 | 100.00% | 99.98% | 97.2% | — | — | — |
| qwen-2.5-72b-instruct qwen/qwen-2.5-72b-instruct | novita/bf16 | bf16 | 32k | $0.380 | $0.400 | 100.00% | — | 96.8% | — | — | — |
| gpt-oss-120b openai/gpt-oss-120b | novita/fp4 | fp4 | 131k | $0.050 | $0.250 | 99.7% | 99.6% | 96.1% | — | — | — |
| gpt-oss-120b openai/gpt-oss-120b | novita/fp4 | fp4 | 131k | $0.050 | $0.250 | 99.7% | 99.6% | 96.1% | — | — | — |
| gemma-4-31b-it google/gemma-4-31b-it | novita/bf16 | bf16 | 262k | $0.140 | $0.400 | 87.2% | 88.9% | 94.0% | — | — | — |
| gemma-4-31b-it google/gemma-4-31b-it | novita/bf16 | bf16 | 262k | $0.140 | $0.400 | 87.2% | 88.9% | 94.0% | — | — | — |
| qwen3-coder qwen/qwen3-coder | novita/fp8 | fp8 | 262k | $0.380 | $1.55 | — | — | 93.7% | — | — | — |
| gemma-3-27b-it google/gemma-3-27b-it | novita/bf16 | bf16 | 98k | $0.119 | $0.200 | 99.9% | 89.0% | 90.6% | — | — | — |
| mistral-nemo mistralai/mistral-nemo | novita/fp8 | fp8 | 60k | $0.040 | $0.170 | 99.2% | 80.7% | 81.2% | — | — | — |
| glm-4.7-flash z-ai/glm-4.7-flash | novita/bf16 | bf16 | 200k | $0.070 | $0.400 | 69.9% | 60.0% | 63.1% | — | — | — |
覆盖模型 · 71
minimax-m2ernie-4.5-vl-424b-a47bminimax-m1kimi-k2-0905wizardlm-2-8x22bdeepseek-r1deepseek-r1-distill-llama-70bdeepseek-v4-flash-0731deepseek-v3.2glm-5l3-lunaris-8bdeepseek-v3.1-terminuskimi-k2nemotron-3-nano-30b-a3bling-3.0-flashdeepseek-chat-v3.1kimi-k2.7-codeglm-5.2deepseek-v4-flashgpt-oss-20bdeepseek-v4-pro-0813qwen3.8-2.4t-a95bqwen3-next-80b-a3b-instructqwen3.5-27bllama-4-scoutminimax-m3minimax-m2.5deepseek-v4-prohy3qwen3.8-27bdeepseek-v4.1-flashqwen3.5-122b-a10bglm-5.1deepseek-r1-0528glm-4.5-airllama-3.3-70b-instructllama-4-maverickglm-4.6vkimi-k2.5llama-3.1-8b-instructdeepseek-v3.2-expstep-3.7-flashkimi-k2-thinkingqwen3-vl-235b-a22b-thinkingqwen3-coder-nextkimi-k2.6glm-4.6mimo-v2.5-prominimax-m2.7deepseek-v4-flash-vision-expglm-5.3-flashl3.1-euryale-70bqwen3-235b-a22b-thinking-2507glm-4.7qwen3.5-397b-a17bmimo-v2.5qwen3-vl-30b-a3b-instructqwen3-235b-a22b-2507minimax-m2.1qwen3-coder-30b-a3b-instruct…另有 11 个
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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