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. | 24B | >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. | 128k | 256k |
| These models have no shared benchmark scores. | ||
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. | 46.8% | — |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | May 21 2025 | Sep 24 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Devstral SmallvsClaude Haiku 5.5Qwen3-MaxvsClaude Haiku 5.5Devstral SmallvsGPT-6.1 TerraQwen3-MaxvsGPT-6.1 TerraDevstral SmallvsGemini 4 CarbonQwen3-MaxvsGemini 4 CarbonDevstral SmallvsMuse Spark OpenQwen3-MaxvsMuse Spark OpenDevstral SmallvsGrok 4.7Qwen3-MaxvsGrok 4.7Devstral SmallvsDeepSeek-V4.1-Flash-1017Qwen3-MaxvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small and Qwen3-Max don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Devstral Small shipped 126 days before Qwen3-Max, so benchmark comparisons should account for the intervening progress.
Devstral Small has 24B parameters, while Qwen3-Max has >1T. Context windows are 128k (Devstral Small) vs 256k (Qwen3-Max). Devstral Small is open weight, while Qwen3-Max is closed.
Direct benchmark comparisons are unavailable — Devstral Small and Qwen3-Max don't publish scores on any of the same benchmarks.