Mistral AI vs Mixtral
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Mistral AI
European frontier-model lab
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Mixtral
Mistral's open-weight mixture-of-experts model, Apache 2.0 licensed
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| RECATOOLS Score | 8.4 / 10 | 7.2 / 10 |
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| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Freemium | Open Source |
| Free tier | Free open-weight models for self-hosting | Free to download and self-host |
| Paid from | $0.14/1M tokens (Mistral Small via API) | — |
| Has API | ✓ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | 500k+ API users | 500k+ API users |
| Founded | 2023 | 2023 |
| Maker | Arthur Mensch, Guillaume Lample, Timothee Lacroix | Mistral AI |
| Verdict | Mistral is the strongest European alternative to the US labs, and its open-weight releases are the reason: Mistral Large 3 (December 2025) ships as a 675B-parameter MoE under Apache 2.0 with a 256K context window, Medium... |
Mixtral (8x7B and 8x22B) was Mistral AI's proof that sparse mixture-of-experts could match dense models at a fraction of the active-parameter cost, and the Apache 2.0 license made it genuinely usable in production withou... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.