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 |
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. | 1M | 128k |
| 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 | |
| Release date | Feb 15 2024 | May 21 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Gemini 1.5 Pro and Devstral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Gemini 1.5 Pro shipped 461 days before Devstral Small, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Gemini 1.5 Pro) vs 128k (Devstral Small). Gemini 1.5 Pro is closed, while Devstral Small is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.5 Pro and Devstral Small don't publish scores on any of the same benchmarks.