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 | 141B |
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 | 64k |
| 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. | — | $2.00Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $6.00Mistral |
| — | $700Mistral · zdr | |
| 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 | Mistral |
| Release date | Dec 9 2025 | Apr 10 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral Small 2 (24B)vsClaude Haiku 5.5Mixtral 8×22BvsClaude Haiku 5.5Devstral Small 2 (24B)vsGPT-6.1 SolMixtral 8×22BvsGPT-6.1 SolDevstral Small 2 (24B)vsGemini 4 ArgonMixtral 8×22BvsGemini 4 ArgonDevstral Small 2 (24B)vsMuse Spark OpenMixtral 8×22BvsMuse Spark OpenDevstral Small 2 (24B)vsGrok 4.7Mixtral 8×22BvsGrok 4.7Devstral Small 2 (24B)vsDeepSeek-V4.1-Flash-1017Mixtral 8×22BvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small 2 (24B) and Mixtral 8×22B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 608 days before Devstral Small 2 (24B), so benchmark comparisons should account for the intervening progress.
Devstral Small 2 (24B) has 24B parameters, while Mixtral 8×22B has 141B. Context windows are 256k (Devstral Small 2 (24B)) vs 64k (Mixtral 8×22B).
Direct benchmark comparisons are unavailable — Devstral Small 2 (24B) and Mixtral 8×22B don't publish scores on any of the same benchmarks.