Codestral 25.01vsQwen3-Max
Codestral 25.01 | Qwen3-Max | |
|---|---|---|
| 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. | — | 1T |
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 | 256k |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.20 |
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. | — | $6.00 |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jan 13 2025 | Sep 24 2025 |
| Access | Proprietary | Proprietary |
Other comparisons
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Frequently asked questions
Codestral 25.01 and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Qwen3-Max has a verified first-party API price: $1.20 per million input tokens and $6.00 per million output tokens. No pay-as-you-go API rate is tracked for Codestral 25.01. Codestral 25.01 shipped 254 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Codestral 25.01) vs 256k (Qwen3-Max).
Direct benchmark comparisons are unavailable — Codestral 25.01 and Qwen3-Max don't publish scores on any of the same benchmarks.