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. | 256k | 400k |
| 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. | 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% | — |
| Overview | ||
| Company | Mistral | OpenAI |
| Release date | Dec 9 2025 | Nov 13 2025 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Devstral Small 2 (24B)vsClaude Fable 5.2GPT-5.1-Codex-MinivsClaude Fable 5.2Devstral Small 2 (24B)vsGemini 4 CarbonGPT-5.1-Codex-MinivsGemini 4 CarbonDevstral Small 2 (24B)vsMuse EmberGPT-5.1-Codex-MinivsMuse EmberDevstral Small 2 (24B)vsGrok 4.7GPT-5.1-Codex-MinivsGrok 4.7Devstral Small 2 (24B)vsDeepSeek-V4.1-Flash-1017GPT-5.1-Codex-MinivsDeepSeek-V4.1-Flash-1017Devstral Small 2 (24B)vsKimi K3.1 ProGPT-5.1-Codex-MinivsKimi K3.1 ProFrequently asked questions
Devstral Small 2 (24B) and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. GPT-5.1-Codex-Mini shipped 26 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.
Context windows are 256k (Devstral Small 2 (24B)) vs 400k (GPT-5.1-Codex-Mini). Devstral Small 2 (24B) is open weight, while GPT-5.1-Codex-Mini is closed.
Direct benchmark comparisons are unavailable — Devstral Small 2 (24B) and GPT-5.1-Codex-Mini don't publish scores on any of the same benchmarks.