Mistral Medium 3.5vso1-preview
Mistral Medium 3.5 | o1-preview | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | 128B | — |
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 256k | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $1.50 | $15.00 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $7.50 | $60.00 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $7.50 |
| BenchmarksPublished by one model only | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 77.6% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 73.3% |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | Apr 29 2026 | Sep 12 2024 |
| Access | Open Weight | Proprietary |
Other comparisons
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Frequently asked questions
Mistral Medium 3.5 and o1-preview don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Medium 3.5 is cheaper on both input and output: $1.50 vs $15.00 per million input tokens, and $7.50 vs $60.00 per million output tokens. o1-preview shipped 594 days before Mistral Medium 3.5, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Mistral Medium 3.5) vs 128k (o1-preview). Mistral Medium 3.5 is open weight, while o1-preview is proprietary.
Direct benchmark comparisons are unavailable — Mistral Medium 3.5 and o1-preview don't publish scores on any of the same benchmarks.