Mistral AI · language model
Mistral Large 2407: pricing, context and benchmarks
Mistral Large 2407 is a language model from Mistral AI released on November 19, 2024. It costs $2 per million input tokens and $6 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.
| Price | 7/30 | |
|---|---|---|
| Context | 4/15 | |
| Features | 8/15 |
What you need to know about Mistral Large 2407
Mistral Large 2407 was released by Mistral AI (France) on November 19, 2024. It accepts text and files as input and produces text. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 104,857 tokens in one go.
Released more than 1 year ago, it belongs to a generation most vendors have since superseded.
Mistral Large 2407 pricing
On OpenRouter, Mistral Large 2407 costs $2 per million input tokens and $6 per million output tokens. Counting three tokens read for every token written, its average price is $3 per million, more expensive than 77 % of paid models (3.9 times the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.007. At 1,000 tasks a day, budget $210 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.2 per million.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Mistral Large 2407. We therefore show no made-up performance rating: only price, context and features count towards its score.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 49 % | Jul 24, 2024 |
| OTIS Mock AIME | maths competition problems | 8.5 % | Jul 24, 2024 |
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- Its knowledge stops at March 2024.
Its weights are not published: it can only be used through the Mistral AI API or a broker such as OpenRouter, which means sending your data off your machines.
Other Mistral AI models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Mistral Large 4 | Oct 6, 2026 | $2.07 | 150 |
| Mistral Medium 3.5 | Apr 30, 2026 | $3 | 141.4 |
| Mistral Small 4 | Mar 16, 2026 | $0.26 | — |
| Devstral 2 2512 | Dec 9, 2025 | $0.8 | — |
| Ministral 3 14B 2512 | Dec 2, 2025 | $0.2 | — |
| Ministral 3 8B 2512 | Dec 2, 2025 | $0.15 | — |
| Ministral 3 3B 2512 | Dec 2, 2025 | $0.1 | — |
| Mistral Large 3 2512 | Dec 1, 2025 | $0.75 | — |
Verdict
Mistral Large 2407 scores 32/100 on our grid, which only uses published figures.
Strengths
- Agent-ready: tool calling and structured JSON output.
Limitations
- No independent score published: performance cannot be verified.
- Older generation, often replaced by a newer model from the same vendor.
Avoid if…
- you process large volumes on a tight budget;
- your data must not leave your servers.
Alternatives
- Aion-3.0$3.75
- o3$3.5
- Claude Haiku 4.5$2
- Nano Banana 2.1$3
- GLM 5.1$2.15
- Sonar Reasoning Pro$3.5
Comparisons and tools
Learn more
Frequently asked questions
How much does Mistral Large 2407 cost?
$2 per million input tokens and $6 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.007.
How big is Mistral Large 2407's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 104,857 output tokens.
Can Mistral Large 2407 run locally?
No, Mistral AI does not publish its weights: it is API-only.
Is Mistral Large 2407 suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Mistral Large 2407?
The closest models on price and performance are Aion-3.0, o3, and Claude Haiku 4.5.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score