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 | 2.8T |
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 | 1M |
| 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% | — |
BenchCADCAD programming — Can the AI do mechanical design as code? Given a drawing or a description of an industrial part — a gear, a spring, a drill bit — it has to write or edit the parametric CAD program that builds it, and the program is run to check the shape really comes out right. Higher is better. | — | 92.7% |
Terminal-Bench 4.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Version 4.0 recalibrated how much time, CPU and memory each task gets, removed eight tasks and fixed nineteen, so fewer runs fail for reasons that have nothing to do with the model. Scores are not comparable with earlier versions. Higher is better. | — | 65.7% |
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% | — |
Terminal-Bench-Science 0.1Agentic scientific computing — The same command-line setup as Terminal-Bench, pointed at scientific work: the AI has to drive research tooling and computational workflows through to a result, rather than administer a machine. Version 0.1 is the first release of the task set, and scores run lower than on the general board. Higher is better. | — | 38.1% |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | — | 70% |
Chartography · with toolsChart tasks — A chart-centred test run with tools available to the AI, reported separately from the chart-reading benchmarks above it. Higher is better. | — | 90.2% |
GDP.PDFDocument comprehension — Real professional PDFs — filings, reports, technical documents — with questions an expert in that field would ask. Tests whether the AI reads the page as a document, layout and figures included, rather than as loose text. Higher is better. | — | 34.6% |
| Overview | ||
| Company | Mistral | Moonshot AI |
| Release date | Dec 9 2025 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral Small 2 (24B)vsClaude Haiku 5.5Kimi K3.1 ProvsClaude Haiku 5.5Devstral Small 2 (24B)vsGPT-6.1 SolKimi K3.1 ProvsGPT-6.1 SolDevstral Small 2 (24B)vsGemini 4 ArgonKimi K3.1 ProvsGemini 4 ArgonDevstral Small 2 (24B)vsMuse Spark OpenKimi K3.1 ProvsMuse Spark OpenDevstral Small 2 (24B)vsGrok 4.7Kimi K3.1 ProvsGrok 4.7Devstral Small 2 (24B)vsDeepSeek-V4.1-Flash-1017Kimi K3.1 ProvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small 2 (24B) and Kimi K3.1 Pro don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Devstral Small 2 (24B) shipped 318 days before Kimi K3.1 Pro, so benchmark comparisons should account for the intervening progress.
Devstral Small 2 (24B) has 24B parameters, while Kimi K3.1 Pro has 2.8T. Context windows are 256k (Devstral Small 2 (24B)) vs 1M (Kimi K3.1 Pro).
Direct benchmark comparisons are unavailable — Devstral Small 2 (24B) and Kimi K3.1 Pro don't publish scores on any of the same benchmarks.