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 | 1T |
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 | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.60Google |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $2.50Google |
| — | $245Novita · bf16 | |
| 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% | 71.3% |
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 | Nov 6 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral Small 2 (24B)vsClaude Haiku 5.5Kimi K2 ThinkingvsClaude Haiku 5.5Devstral Small 2 (24B)vsGPT-6.1 SolKimi K2 ThinkingvsGPT-6.1 SolDevstral Small 2 (24B)vsGemini 4 ArgonKimi K2 ThinkingvsGemini 4 ArgonDevstral Small 2 (24B)vsMuse Spark OpenKimi K2 ThinkingvsMuse Spark OpenDevstral Small 2 (24B)vsGrok 4.7Kimi K2 ThinkingvsGrok 4.7Devstral Small 2 (24B)vsDeepSeek-V4.1-Flash-1017Kimi K2 ThinkingvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Kimi K2 Thinking leads Devstral Small 2 (24B) on 1 of the 1 benchmark they both report (SWE-Bench Verified). Kimi K2 Thinking shipped 33 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.
Devstral Small 2 (24B) has 24B parameters, while Kimi K2 Thinking has 1T. Context windows are 256k (Devstral Small 2 (24B)) vs 256k (Kimi K2 Thinking).
On SWE-Bench Verified, Kimi K2 Thinking leads at 71.3% vs Devstral Small 2 (24B) at 68%.