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Mistral Large 4 is a Mistral AI model, released on 29 October 2026. It takes text and images and returns text, with a 1.05 million-token context window. Artificial Analysis scores it 26.0 on its Intelligence Index, the highest of 2 rated Mistral models.
Provider-published specifications as of 30 October 2026, not figures we measured. Model families move quickly — check the provider's own documentation before committing to a number.
Source: Mistral Large 4 in the OpenRouter catalogue, checked weekly. Confirm current terms in Mistral AI's own documentation before you commit.
Measured by Artificial Analysis on its own evaluation suite, at every reasoning setting it tested.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 29.0
Each model at its best reasoning setting. The index combines reasoning, knowledge, maths and coding evaluations; it does not show cost, latency or data residency.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the provider.
Artificial Analysis Intelligence Index · Higher is better · Linear scale from 0 to 66.0
The highest-rated model of each other family we cover, at its best reasoning setting.
Source: Artificial Analysis. Checked 30 October 2026. Measured independently by Artificial Analysis, not by QQuantum.ai or the providers.
The same model tested at each reasoning effort. Higher settings usually score better and answer more slowly; measure which one your task needs.
| Criterion | Intelligence | Tokens / s | First token (s) | Blended $ / M |
|---|---|---|---|---|
| High | 26.0 | 169 | 2.9 | $1.05 |
| Medium | 23.1 | — | — | $1.05 |
Illustrative calculation at listed rates: a batch of 10 million input tokens and 1 million output tokens costs $9.10 on Mistral Large 4. A thousand requests of 2,000 input and 500 output tokens each costs $2.45. Calculation: input millions × input rate + output millions × output rate; it excludes reasoning tokens, retries, tools, tax and review time.
Compare cost per accepted result, not per token: replay the same work on two or three candidates and count the answers you would actually ship. Our model-routing approach sends each request to the cheapest model that passes.
Every Mistral model in the catalogue. Our Mistral page covers where the family fits and how we evaluate it.
| Mistral Large 4 open | 29 Oct 2026 | 26.0 | 169 | 1.05M | $0.700 | $2.10 |
|---|---|---|---|---|---|---|
| Mistral Medium 3.5 | 29 Apr 2026 | — | 152 | 262k | $1.50 | $7.50 |
| Mistral Small 4 open | 16 Mar 2026 | 4.3 | 170 | 262k | $0.150 | $0.600 |
| Devstral 2 2512 open | 9 Dec 2025 | — | — | 262k | $0.400 | $2.00 |
| Ministral 3 14B 2512 open | 2 Dec 2025 | — | — | 262k | $0.200 | $0.200 |
| Ministral 3 3B 2512 open | 2 Dec 2025 | — | — | 131k | $0.100 | $0.100 |
| Ministral 3 8B 2512 open | 2 Dec 2025 | — | — | 262k | $0.150 | $0.150 |
| Mistral Large 3 2512 | 1 Dec 2025 | — | — | 262k | $0.500 | $1.50 |
| Voxtral Small 24B 2507 open | 30 Oct 2025 | — | — | 33k | $0.100 | $0.300 |
| Mistral Medium 3.1 | 12 Aug 2025 | — | — | 131k | $0.400 | $2.00 |
| Codestral 2508 | 1 Aug 2025 | — | — | 256k | $0.300 | $0.900 |
| Mistral Small 3.2 24B open | 20 Jun 2025 | — | — | 256k | $0.075 | $0.200 |
| Mistral Medium 3 | 7 May 2025 | — | — | 131k | $0.400 | $2.00 |
| Mistral Small 3.1 24B open | 17 Mar 2025 | — | — | 128k | $0.351 | $0.555 |
| Saba | 17 Feb 2025 | — | — | 33k | $0.200 | $0.600 |
Intelligence and coding: Artificial Analysis indices at the model's best reasoning setting, and its measured output speed. Context and prices: the OpenRouter catalogue list price in USD per million tokens. Released: the provider's date where Artificial Analysis records one, otherwise the date the catalogue first listed it. Refreshed weekly; not measured by QQuantum.ai. Select a heading to sort.
Mistral Large 4 was released on 29 October 2026, according to Artificial Analysis.
1.05 million tokens, with up to 262,144 output tokens per response, as listed in the OpenRouter catalogue on 30 October 2026. A long window is not the same as reliable recall across it; evaluate retrieval on your own documents.
The catalogue lists $0.700 per million input tokens and $2.10 per million output tokens, and $0.070 per million cached input tokens (checked 30 October 2026). Mistral AI's own rates, batch discounts and cloud marketplaces can differ.
Artificial Analysis gives it 26.0 on its Intelligence Index at its best reasoning setting, the highest of the 2 Mistral models it rates. A composite score is a shortlist tool; your own task decides.
Its weights are published (on Hugging Face as mistralai/Mistral-Large-4-1T-A52B), so it can be self-hosted subject to its licence. Check the licence and size the serving stack before buying hardware.
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