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 | 72B |
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 | 128k |
| 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. | 68% | 60.4% |
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 | Moonshot AI |
| Release date | Dec 9 2025 | Jun 17 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral Small 2 (24B)vsClaude Haiku 5.5Kimi-DevvsClaude Haiku 5.5Devstral Small 2 (24B)vsGPT-6.1 SolKimi-DevvsGPT-6.1 SolDevstral Small 2 (24B)vsGemini 4 ArgonKimi-DevvsGemini 4 ArgonDevstral Small 2 (24B)vsMuse Spark OpenKimi-DevvsMuse Spark OpenDevstral Small 2 (24B)vsGrok 4.7Kimi-DevvsGrok 4.7Devstral Small 2 (24B)vsDeepSeek-V4.1-Flash-1017Kimi-DevvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small 2 (24B) leads Kimi-Dev on 1 of the 1 benchmark they both report (SWE-Bench Verified). Kimi-Dev shipped 175 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.
Devstral Small 2 (24B) has 24B parameters, while Kimi-Dev has 72B. Context windows are 256k (Devstral Small 2 (24B)) vs 128k (Kimi-Dev).
On SWE-Bench Verified, Devstral Small 2 (24B) leads at 68% vs Kimi-Dev at 60.4%.