Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | >1T |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 256k | 256k |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Jan 13 2025 | Sep 24 2025 |
| Access | Closed | Closed |
| Model details | View model | View model |
Other comparisons
Codestral 25.01vsClaude Haiku 5.5Qwen3-MaxvsClaude Haiku 5.5Codestral 25.01vsGPT-6.1 TerraQwen3-MaxvsGPT-6.1 TerraCodestral 25.01vsGemini 4 CarbonQwen3-MaxvsGemini 4 CarbonCodestral 25.01vsMuse Spark OpenQwen3-MaxvsMuse Spark OpenCodestral 25.01vsGrok 4.7Qwen3-MaxvsGrok 4.7Codestral 25.01vsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017Frequently 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. 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.