Model availability
Live checks for every served model.
24-hour status, latency, speed, and list price per 1M tokens for every model nRouter serves.
371 models, 247 of them checked in the last 24 hours with a real request through the Rust gateway.
88.3%up
of 247 checked models
- up
- 218
- degraded
- 0
- down
- 29
- not checked
- 124
Every model by health
- Frontier
- Anthropic
- Other
- Meta
- Qwen
- Moonshot AI
- Z-AI
- OpenAI
- DeepSeek
- Microsoft
- Mistral AI
- TypeSafe AI
- xAI
By model
| Trend | Last 5 | ||||||
|---|---|---|---|---|---|---|---|
| claude-opus-5-5 Anthropic language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Anthropic | Up · checked 2026-10-17 01:58 UTC | — | — | $5.00 / $25.00 | — | |
| claude-fable-5-1 Anthropic language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Anthropic | Down · checked 2026-10-17 01:54 UTC | — | — | $10.00 / $50.00 | — | |
| claude-opus-5 Claude Opus 5 is a multimodal foundation model supporting text and image inputs with a 1,000,000-token context window and 128,000 max output tokens. It has a May 2026 knowledge cutoff for multi-stage software engineering. | Anthropic | Up · checked 2026-10-17 01:58 UTC | — | — | $5.00 / $25.00 | — | |
| gemini-3.8-flash Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.75 / $3.75 | — | ||
| XiaomiMiMo/MiMo-V2.6-Pro XiaomiMiMo language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.43 / $0.87 | — | — |
| muse-spark-1.3 Meta language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Meta | Up · checked 2026-10-17 02:45 UTC | — | — | $1.25 / $4.25 | — | |
| qwen3.8-max Qwen3.8-Max is an Alibaba foundation model offering a 1,000,000-token context window, hybrid thinking modes, and multimodal reasoning across text, image, and video inputs. It provides tool calling and long-context comprehension for complex tasks. | Qwen | Up · checked 2026-10-17 18:11 UTC | — | — | $2.00 / $6.00 | — | |
| gemini-3.1-pro Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $2.00 / $12.00 | — | ||
| kimi-k3 Moonshot language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Moonshot AI | Up · checked 2026-10-17 02:42 UTC | — | — | $3.00 / $15.00 | — | |
| zai-org/GLM-5.3 zai-org language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Z-AI | Not checked yet | — | — | $0.90 / $4.00 | — | — |
| gpt-5.5 OpenAI multimodal model supporting text and image inputs with a 1.05M token context window, 128K max output tokens, and knowledge cutoff of December 2025. | OpenAI | Up · checked 2026-10-17 02:38 UTC | — | — | $5.00 / $30.00 | — | |
| gpt-5.4 High-efficiency OpenAI reasoning model with an expanded 1.05M token context window, suited for extensive codebases, deep reasoning, and computer-use tasks. | OpenAI | Up · checked 2026-10-17 02:38 UTC | — | — | $2.50 / $15.00 | — | |
| deepseek-v4.1-flash DeepSeek language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | DeepSeek | Up · checked 2026-10-17 02:05 UTC | — | — | $1.00 / $3.00 | — | |
| gpt-6.1-sol OpenAI advanced reasoning model. Utilizes structured deliberation tokens for multi-step reasoning, mathematical problem solving, and complex logic. | OpenAI | Up · checked 2026-10-17 02:39 UTC | — | — | $3.00 / $15.00 | — | |
| gpt-6-astra OpenAI advanced reasoning model. Utilizes structured deliberation tokens for multi-step reasoning, mathematical problem solving, and complex logic. | OpenAI | Up · checked 2026-10-17 02:39 UTC | — | — | $5.00 / $25.00 | — | |
| o1 Full-scale OpenAI reasoning model trained with reinforcement learning to generate detailed chains of thought for STEM, logic, and coding problems. | OpenAI | Up · checked 2026-10-17 02:44 UTC | — | — | $15.00 / $60.00 | — | |
| gpt-4o OpenAI omni model supporting text and image inputs with a 128,000-token context window and 16,384 max output tokens. It provides structured outputs and carries an October 2023 knowledge cutoff. | OpenAI | Up · checked 2026-10-17 02:37 UTC | — | — | $2.50 / $10.00 | — | |
| google/gemini-2.5-pro Google language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:36 UTC | — | — | $1.25 / $10.00 | — | ||
| o3-mini Cost-effective OpenAI reasoning model optimized for programming, mathematics, and structured logic queries with customizable thinking intensity. | OpenAI | Up · checked 2026-10-17 18:11 UTC | — | — | $1.10 / $4.40 | — | |
| gemini-2.0-flash Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:38 UTC | — | — | $0.10 / $0.40 | — | ||
| anthropic/claude-haiku-4-5 Anthropic language model featuring a 200,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Anthropic | Up · checked 2026-10-17 01:45 UTC | — | — | $1.00 / $5.00 | — | |
| claude-sonnet-5-5 Anthropic language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Anthropic | Up · checked 2026-10-17 01:59 UTC | — | — | $2.00 / $10.00 | — | |
| claude-sonnet-5 Claude Sonnet 5 is a multimodal foundation model offering a 1,000,000-token context window and 128,000 max output tokens. It supports text and image inputs with a January 2026 knowledge cutoff for production workflows. | Anthropic | Up · checked 2026-10-17 01:59 UTC | — | — | $2.00 / $10.00 | — | |
| claude-fable-5 Claude Fable 5 is a multimodal foundation model supporting text and image inputs with a 1,000,000-token context window and 128,000 max output tokens. It features a January 2026 knowledge cutoff for agentic workflows. | Anthropic | Down · checked 2026-10-17 01:54 UTC | — | — | $10.00 / $50.00 | — | |
| claude-opus-4-8 Claude Opus 4.8 is an enterprise-grade model built for sustained collaboration, dynamic workflow execution, and large-scale architectural problem solving. | Anthropic | Up · checked 2026-10-17 01:58 UTC | — | — | $5.00 / $25.00 | — | |
| claude-opus-4-7 Claude Opus 4.7 is a deep reasoning model with an upgraded tokenizer and high-resolution vision, engineered for long-horizon software engineering and interface design. | Anthropic | Down · checked 2026-10-17 02:03 UTC | — | — | $5.00 / $25.00 | — | |
| claude-sonnet-4-6 Claude Sonnet 4.6 provides balanced speed and intelligence with a 1M token context window, designed for enterprise software engineering and agentic planning. | Anthropic | Down · checked 2026-10-17 02:03 UTC | — | — | $3.00 / $15.00 | — | |
| claude-opus-4-6 Claude Opus 4.6 is a multimodal coding and reasoning model with a 1,000,000-token context window and a 128,000 max output token limit. It processes text and image inputs for large codebases and complex agent operations. | Anthropic | Down · checked 2026-10-17 01:58 UTC | — | — | $5.00 / $25.00 | — | |
| claude-opus-4-5-20251101 Claude Opus 4.5 is an intelligent reasoning model designed for multi-day software development tasks, autonomous agents, and deep analytical research. | Anthropic | Up · checked 2026-10-17 01:54 UTC | — | — | $5.00 / $25.00 | — | |
| claude-haiku-4-5-20251001 Claude Haiku 4.5 is a fast, lightweight multimodal model designed for low-latency tasks, high-volume user experiences, and real-time coding assistance. | Anthropic | Up · checked 2026-10-17 18:11 UTC | — | — | $1.00 / $5.00 | — | |
| google/embeddinggemma-300m Google dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Up · checked 2026-10-17 02:36 UTC | — | — | $0.002 / — | — | ||
| google/gemini-2.5-flash Google language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:36 UTC | — | — | $0.30 / $2.50 | — | ||
| google/gemini-3.5-flash Google language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:36 UTC | — | — | $1.50 / $9.00 | — | ||
| google/gemma-4-26B-A4B-it Google language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:36 UTC | — | — | $0.07 / $0.34 | — | ||
| google/gemma-4-31B-it Google language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:37 UTC | — | — | $0.20 / $0.40 | — | ||
| google/gemma-4-31B-it-turbo Google language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:37 UTC | — | — | $0.09 / $0.34 | — | ||
| google/gemma-4-31B-it-Ultra Google language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Not checked yet | — | — | $0.27 / $0.76 | — | — | |
| gemini-3-flash-preview Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:36 UTC | — | — | $0.50 / $2.00 | — | ||
| gemini-3.5-live-translate-preview Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:39 UTC | — | — | $0.50 / $2.00 | — | ||
| gemini-3.5-flash-lite Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.30 / $2.50 | — | ||
| gemini-3.6-flash Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.75 / $3.75 | — | ||
| gemini-3.7-flash Google language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.75 / $3.75 | — | ||
| gemini-1.5-flash-002 Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:09 UTC | — | — | $0.07 / $0.30 | — | ||
| gemini-1.5-flash-8b Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:11 UTC | — | — | $0.04 / $0.15 | — | ||
| gemini-1.5-pro-002 Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:11 UTC | — | — | $1.25 / $5.00 | — | ||
| gemini-2.0-flash-lite Google language model featuring a extended context window. Engineered for dialogue, instruction following, and versatile text generation. | Down · checked 2026-10-17 02:39 UTC | — | — | $0.07 / $0.30 | — | ||
| gemma-3-12b-it Google language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.09 / $0.29 | — | ||
| gemma-3-27b-it Google language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:35 UTC | — | — | $0.23 / $0.38 | — | ||
| gemma-3-4b-it Google language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Up · checked 2026-10-17 02:35 UTC | — | — | $0.04 / $0.08 | — | ||
| gemini-3.1-flash-lite Gemini 3.1 Flash-Lite is Google's lightweight multimodal foundation model for high-throughput tasks. It processes up to 1,048,576 input tokens across text, audio, video, image, and PDF, with 65,536 max output tokens for translation, transcription, and classification. | Up · checked 2026-10-17 02:34 UTC | — | — | $0.10 / $0.40 | — | ||
| BAAI/bge-base-en-v1.5 BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.005 / — | — | |
| BAAI/bge-en-icl BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.01 / — | — | |
| BAAI/bge-large-en-v1.5 BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.01 / — | — | |
| BAAI/bge-m3 BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.01 / — | — | |
| BAAI/bge-m3-multi BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.01 / — | — | |
| BAAI/bge-m3-multi-8k BAAI dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.01 / — | — | |
| ByteDance/Seed-1.8 ByteDance language model featuring a 256,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.25 / $2.00 | — | |
| ByteDance/Seed-2.0-code ByteDance language model featuring a 256,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.50 / $3.00 | — | |
| ByteDance/Seed-2.0-mini ByteDance language model featuring a 256,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.10 / $0.40 | — | |
| ByteDance/Seed-2.0-pro ByteDance language model featuring a 256,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 01:45 UTC | — | — | $0.50 / $3.00 | — | |
| Gryphe/MythoMax-L2-13b Gryphe language model featuring a 4,096-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.40 / $0.40 | — | |
| ibm-granite/granite-4.2-30b ibm-granite language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.16 / $0.65 | — | |
| ibm-granite/granite-4.2-3b ibm-granite language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.03 / $0.12 | — | |
| ibm-granite/granite-4.2-8b ibm-granite language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.06 / $0.25 | — | |
| inclusionAI/Ling-3.0-flash inclusionAI language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.06 / $0.18 | — | — |
| inclusionAI/Ling-3.0-flash-VL inclusionAI language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.06 / $0.18 | — | — |
| intfloat/e5-base-v2 intfloat dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.005 / — | — | |
| intfloat/e5-large-v2 intfloat dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.01 / — | — | |
| intfloat/multilingual-e5-large intfloat dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.01 / — | — | |
| intfloat/multilingual-e5-large-instruct intfloat dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Up · checked 2026-10-17 02:42 UTC | — | — | $0.01 / — | — | |
| MiniMaxAI/MiniMax-M3 MiniMaxAI language model featuring a 524,288-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.28 / $1.10 | — | |
| nvidia/Nemotron-Content-Safety-3.5 nvidia language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.20 / $0.20 | — | |
| nvidia/NVIDIA-Nemotron-3-Super-120B-A12B nvidia language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.09 / $0.40 | — | |
| nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B nvidia language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.50 / $2.20 | — | |
| nvidia/NVIDIA-Nemotron-3.5-Lightning nvidia language model featuring a 262,144-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.06 / $0.16 | — | |
| Sao10K/L3-8B-Lunaris-v1-Turbo Sao10K language model featuring a 8,192-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.04 / $0.05 | — | — |
| Sao10K/L3.1-70B-Euryale-v2.2 Sao10K language model featuring a 131,072-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.85 / $0.85 | — | — |
| sentence-transformers/all-MiniLM-L6-v2 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| sentence-transformers/all-mpnet-base-v2 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| sentence-transformers/clip-ViT-B-32 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| sentence-transformers/clip-ViT-B-32-multilingual-v1 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| sentence-transformers/multi-qa-mpnet-base-dot-v1 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| sentence-transformers/paraphrase-MiniLM-L6-v2 sentence-transformers dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| shibing624/text2vec-base-chinese shibing624 dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| tencent/Hy4-preview tencent language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.83 / $2.50 | — | — |
| thenlper/gte-base thenlper dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.005 / — | — | — |
| thenlper/gte-large thenlper dense vector embedding model. Transforms natural language text into rich semantic embeddings for search and retrieval. | Other | Not checked yet | — | — | $0.01 / — | — | — |
| thinkingmachines/Inkling thinkingmachines language model featuring a 524,288-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.95 / $4.05 | — | — |
| XiaomiMiMo/MiMo-V2.6-Flash XiaomiMiMo language model featuring a 1,048,576-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Not checked yet | — | — | $0.14 / $0.28 | — | — |
| minimax-m2 MiniMax language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.30 / $1.20 | — | |
| minimax-m2.1 MiniMax language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.30 / $1.20 | — | |
| minimax-m2.5 MiniMax language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.30 / $1.20 | — | |
| nemotron-nano-12b-v2 Other language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.20 / $0.60 | — | |
| nemotron-nano-3-30b Other language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.06 / $0.24 | — | |
| nemotron-nano-9b-v2 Other language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.06 / $0.23 | — | |
| nemotron-super-3-120b Other language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 18:11 UTC | — | — | $0.15 / $0.65 | — | |
| nova-2-lite Amazon language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Down · checked 2026-10-17 02:43 UTC | — | — | $0.33 / $2.75 | — | |
| nova-lite Amazon language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.06 / $0.24 | — | |
| nova-micro Amazon language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.04 / $0.14 | — | |
| nova-pro Amazon language model featuring a 128,000-token context window. Engineered for dialogue, instruction following, and versatile text generation. | Other | Up · checked 2026-10-17 02:43 UTC | — | — | $0.80 / $3.20 | — |
How we measure.
Once an hour nRouter sends a real request to each checked model through the same Rust gateway that carries customer traffic, with up to three attempts two minutes apart. Success is the share of the last 24 hours of checks that returned a valid response, latency is the time to a complete response, and speed is output tokens per second. Price is the list price per 1M input and output tokens. A model without a check yet is marked not checked, and a figure that was not measured shows a dash. The page refreshes at most every five minutes.