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 | Codestral 25.08 | Mistral Large 4 | Mistral Medium 3.5 |
|---|---|---|---|
| Provider | Mistral AI | Mistral AI | Mistral AI |
| Release date | Not verified | Oct 6, 2026 | Apr 28, 2026 |
| Status | Generally available | Preview Preview | Generally available |
| Purpose | Coding | Flagship | Multimodal |
| Inputs → outputs | text → text | text, image → text | text, image → text |
| Context window | Not documented | 1,000,000 tokens | Not documented |
| API input price | $0.30 per 1M tokens | $0.68 per 1M tokens | $1.50 per 1M tokens |
| API output price | $0.90 per 1M tokens | $2.09 per 1M tokens | $7.50 per 1M tokens |
| Example: 1,000,000 in + 200,000 out tokens | $0.48 | $1.10 | $3 |
| Licence | proprietary | open-weight (licence not yet published) | open-weight (Modified MIT) |
| 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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