mistralai
Mistral Large
mistralai/mistral-large
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Mistral Large 2 (served as mistralai/mistral-large, version mistral-large-2407) is Mistral AI's 123-billion-parameter general-purpose model with a 128k context window, text and file inputs, and text output. Mistral positions it for reasoning, code generation, JSON, and multilingual chat, with parallel and sequential function calling. The vendor reports it is deprecated and replaced by a newer multimodal model; weights are available under a research license, with commercial use requiring a separate license. Evidence here is catalog- and vendor-only.[1][2]
Strengths
- Vendor-reported strengths in reasoning, code across 80+ programming languages, and JSON output; the API exposes structured outputs and tool calling.[1][2]
- 128k context window and multilingual training covering dozens of languages, including Spanish, Portuguese, and Hindi.[1][2]
- At 123 billion parameters, it is designed for single-node inference at high throughput, according to Mistral.[2]
Limitations
- Mistral states this model is deprecated, no longer maintained, and replaced by a newer multimodal model.[2]
- Weights are under the Mistral Research License for research and non-commercial use; commercial self-deployment requires a separate commercial license.[2]
- Evidence is limited to the OpenRouter catalog and Mistral's own launch post; no independent model card or third-party evaluations were in this pack, so validate on your workload.[1][2]
Where to use it
- Worth evaluating for long-document analysis and multilingual business applications, given the 128k context and reported language coverage.[1][2]
- Candidate for agentic workflows that need parallel or sequential function calling and structured JSON output.[1][2]
- Possible fit for code generation in the 80+ languages the vendor lists, subject to testing.[2]
Sources
- [1] OpenRouter catalog · Mistral LargeSources checked: Nov 13, 2026
- [2] Model documentation · Mistral LargeSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news/mistral-large-2407/)....
Specifications
- Model ID
- mistralai/mistral-large
- Creator
- mistralai
- Added to OpenRouter
- 26.02.2024
- Context length
- 128,000
- Modality
- text+file->text
- Input modalities
- text, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2 / out $6
- Knowledge cutoff
- 30.11.2024
- 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 | input: file |
| 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) |
|---|---|---|---|---|---|---|
| Mistral | 128,000 | $2 | $6 | — | — | 100% |
| Mistral | 128,000 | $2.2 | $6.6 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.