# Mistral Large 4

mistral, released 2026-10-06

**Verdict: conditional.** Conditional: Mistral Large 4 is a public preview, not a finished release, since Mistral says its reinforcement learning run is still in flight and promises weights "by the end of the month". It is a mixture-of-experts model of about 1 trillion parameters, 52B active, with a 1M context on its docs page and a $1.36 input, $4.18 output list price per 1M tokens. Most benchmarks are Mistral's own. Trial it now if you want an open-weight-bound model, but wait for weights and licence before committing. Last verified 2026-10-09.

## Pricing

- Input: $1.36 / 1M tokens
- Output: $4.18 / 1M tokens
- Context: 1M ctx; preview; sale $0.68/$2.09 on docs

## Strengths

- Trying out a 1.05T-parameter, 52B-active mixture-of-experts model with text and image input through Mistral Studio while it is in public preview
- Long-document and agent work that needs a 1M-token context (per the docs model page)
- Teams that want an open-weight path: Mistral says weights follow by the end of the month
- Apps that need function calling, structured outputs, document QnA and batching, all listed on the docs model page
- Production commitments: this is a public preview and Mistral says the RL run behind it is still in flight
- Self-hosting today: no weights are out and no licence was published on the pages we read
- Decisions that need independent evaluations: most scores are Mistral's own, and Mistral ran the blind human coding evaluation with Surge AI
- Budgeting off the docs page alone, which shows a sale rate that differs from the announcement's list rate

## Benchmarks

- DeepSWE 1.1 (Mistral-reported): 61.7% (https://mistral.ai/news/mistral-large-4/)
- Terminal Bench 4.0 (Mistral-reported): 28.3% (https://mistral.ai/news/mistral-large-4/)
- AutomationBench (Mistral-reported): 59.9% (https://mistral.ai/news/mistral-large-4/)
- Cybench (Mistral-reported): 93% (https://mistral.ai/news/mistral-large-4/)
- Surge AI blind human coding evaluation, 1-5 scale (run by Mistral with Surge AI; Claude Opus 5 scored 4.22): 3.74 (https://mistral.ai/news/mistral-large-4/)

## Sources

- [Mistral docs: Models overview](https://docs.mistral.ai/getting-started/models/models_overview/)
- [Mistral: Pricing (Mistral Large 4 not listed on the page we read)](https://mistral.ai/pricing)
- [Mistral: Mistral Large 4 public preview announcement](https://mistral.ai/news/mistral-large-4/)
- [Mistral docs: Mistral Large 4 (public preview, sale pricing)](https://docs.mistral.ai/models/mistral-large-4-0)

Canonical: https://neomanex.com/models/mistral-large-4