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. | 100k | 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% |
HumanEvalFunction synthesis — 164 small Python problems: the AI is given a function's description and has to write the working function. This was the coding benchmark of the GPT-3.5 and GPT-4 era, before the field moved to fixing real bugs in real repositories. Higher is better. | 71.2% | — |
MMLUGeneral knowledge — A 57-subject multiple-choice exam — history, law, medicine, maths — that was the standard measure of how much a model knows from 2020 until roughly 2024, when frontier scores crowded into the high 80s and labs moved on to harder tests. The scores here were published years apart under different testing setups, so read them as a historical record rather than a like-for-like ranking. Higher is better. | 78.5% | — |
GSM8KGrade-school math — Grade-school maths word problems that take a few steps of arithmetic to work through. It separated the models of 2022 and 2023 sharply, then saturated. One caveat on the historical numbers: OpenAI included part of the GSM8K training set in GPT-4's pre-training mix, so GPT-4's score is not a clean few-shot result. Higher is better. | 88% | — |
| Overview | ||
| Company | Anthropic | Mistral |
| Release date | Jul 11 2023 | May 21 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 2vsGPT-6.1 SolDevstral SmallvsGPT-6.1 SolClaude 2vsGemini 4 ArgonDevstral SmallvsGemini 4 ArgonClaude 2vsMuse Spark OpenDevstral SmallvsMuse Spark OpenClaude 2vsGrok 4.7Devstral SmallvsGrok 4.7Claude 2vsDeepSeek-V4.1-Flash-1017Devstral SmallvsDeepSeek-V4.1-Flash-1017Claude 2vsKimi K3Devstral SmallvsKimi K3Frequently asked questions
Claude 2 and Devstral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Claude 2 shipped 680 days before Devstral Small, so benchmark comparisons should account for the intervening progress.
Context windows are 100k (Claude 2) vs 128k (Devstral Small). Claude 2 is closed, while Devstral Small is open weight.
Direct benchmark comparisons are unavailable — Claude 2 and Devstral Small don't publish scores on any of the same benchmarks.