mistralai
Mistral: Mistral Nemo
mistralai/mistral-nemo
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
mistralai/mistral-nemo is the OpenRouter listing for a 12B-parameter text-to-text model linked to the Mistral-Nemo-Instruct-2407 checkpoint. The model documentation describes an instruction-tuned release trained by Mistral AI and NVIDIA with a 128k context window and substantial multilingual and code data. The catalog advertises tool and structured-output controls. Published metrics measure the linked checkpoint; they do not directly measure this catalog deployment.[1][2]
Strengths
Limitations
- The documentation explicitly states that this instruct model has no moderation mechanisms.[2]
- Only text input and output are evidenced; other modalities and dedicated reasoning behavior are not established.[1]
- No endpoint-specific benchmark, safety evaluation, or workload validation is supplied for the OpenRouter deployment.[1][2]
Where to use it
- Consider for multilingual chat assistants that need instruction following and external moderation.[2]
- Potentially suitable for long-document Q&A or summarization because of the documented context length.[1][2]
- A candidate for tool-using text agents or structured-response pipelines, subject to integration testing.[1][2]
Sources
- [1] OpenRouter catalog · Mistral: Mistral NemoSources checked: Nov 13, 2026
- [2] Model documentation · Mistral: Mistral NemoSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Specifications
- Model ID
- mistralai/mistral-nemo
- Creator
- mistralai
- Added to OpenRouter
- 19.07.2024
- Context length
- 131,072
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.029 / out $0.030
- Knowledge cutoff
- 30.04.2024
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Io Netfp16 | 128,000 | $0.017 | $0.022 | — | — | 100% |
| DekaLLMfp8 | 131,072 | $0.018 | $0.030 | — | — | 100% |
| DeepInfrafp8 | 131,072 | $0.029 | $0.030 | — | — | 100% |
| Parasailfp8 | 131,072 | $0.030 | $0.030 | — | — | 100% |
| Mistral | 131,072 | $0.150 | $0.150 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.