Mistral AI · language model
Mistral Medium 3.1: pricing, context and benchmarks
Mistral Medium 3.1 is a language model from Mistral AI released on August 13, 2025. It costs $0.4 per million input tokens and $2 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.
| Price | 15/30 | |
|---|---|---|
| Context | 4/15 | |
| Features | 8/15 |
What you need to know about Mistral Medium 3.1
Mistral Medium 3.1 was released by Mistral AI (France) on August 13, 2025. It accepts text, images, 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.
It has been available for about 14 months, long enough for its prices and scores to have settled.
Mistral Medium 3.1 pricing
On OpenRouter, Mistral Medium 3.1 costs $0.4 per million input tokens and $2 per million output tokens. Counting three tokens read for every token written, its average price is $0.8 per million, more expensive than 51 % of paid models (1 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 $0.0018. At 1,000 tasks a day, budget $54 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.04 per million. With batch processing (delayed answers), the price drops to $0.2 input and $1 output.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Mistral Medium 3.1. We therefore show no made-up performance rating: only price, context and features count towards its score.
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 June 2025.
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 Medium 3.1 scores 45/100 on our grid, which only uses published figures.
Strengths
- Agent-ready: tool calling and structured JSON output.
- Discounted batch pricing.
Limitations
- No independent score published: performance cannot be verified.
Avoid if…
- your data must not leave your servers.
Alternatives
- Llama 3.1 Euryale 70B v2.2$0.85
- Aion-3.0-Mini$0.88
- Hermes 3 70B Instruct$0.7
- R1 0528$0.91
- Qwen2.5 VL 72B Instruct$0.85
- Command A+$0.6
Comparisons and tools
Learn more
Frequently asked questions
How much does Mistral Medium 3.1 cost?
$0.4 per million input tokens and $2 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0018.
How big is Mistral Medium 3.1's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 104,857 output tokens.
Can Mistral Medium 3.1 run locally?
No, Mistral AI does not publish its weights: it is API-only.
Is Mistral Medium 3.1 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 Medium 3.1?
The closest models on price and performance are Llama 3.1 Euryale 70B v2.2, Aion-3.0-Mini, and Hermes 3 70B Instruct.
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