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. | 200k | 256k |
| Benchmarks | ||
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. | 33% | 68% |
SWE-Bench MultilingualMultilingual coding — Like SWE-Bench, but the coding problems span many programming languages, not just one. Tests how broadly the AI can code. Higher is better. | — | 55.7% |
Terminal-Bench 2.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | — | 22.5% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 50.4% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Mar 4 2024 | Dec 9 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
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Devstral Small 2 (24B) leads Claude 3 Opus on 1 of the 1 benchmark they both report (SWE-Bench Verified). Claude 3 Opus shipped 645 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3 Opus) vs 256k (Devstral Small 2 (24B)). Claude 3 Opus is closed, while Devstral Small 2 (24B) is open weight.
On SWE-Bench Verified, Devstral Small 2 (24B) leads at 68% vs Claude 3 Opus at 33%.