Side-by-side comparison
Compare AI Models
Pick two to five models. Every cell comes from a verified record; anything unverified says so. There is no overall winner — the right choice depends on your task, budget and technical needs.
| Criterion | Mistral Large 4 | Mistral Medium 3.5 | Mistral Small 4 |
|---|---|---|---|
| Provider | Mistral AI | Mistral AI | Mistral AI |
| Release date | Oct 6, 2026 | Apr 28, 2026 | Mar 16, 2026 |
| Status | Preview Preview | Generally available | Generally available |
| Purpose | Flagship | Multimodal | Fast / lightweight |
| Inputs → outputs | text, image → text | text, image → text | text → text |
| Context window | 1,000,000 tokens | Not documented | 256,000 tokens |
| API input price | $0.68 per 1M tokens | $1.50 per 1M tokens | $0.15 per 1M tokens |
| API output price | $2.09 per 1M tokens | $7.50 per 1M tokens | $0.60 per 1M tokens |
| Example: 1,000,000 in + 200,000 out tokens | $1.10 | $3 | $0.27 |
| Licence | open-weight (licence not yet published) | open-weight (Modified MIT) | open-source (Apache 2.0) |
| Last verified | Oct 19, 2026 | Oct 19, 2026 | Oct 19, 2026 |
The example cost multiplies the published per-1M-token list prices by the token counts above. It ignores caching, batch discounts, long-context surcharges and tax, and is shown only when both rates are verified.
How to choose
Start from the rows that matter for your job: a free plan and learning curve for casual use; API access, rates and data terms for building products; context window and modalities for long documents or images. Provider claims are labelled as such; we do not rank.
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