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 | 675B |
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. | 128k | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $0.50 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $1.50 |
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. | — | $0.50Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $1.50Mistral |
| — | $175Mistral list price | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 2% |
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. | 46.8% | — |
| Overview | ||
| Company | Mistral | Mistral |
| Release date | May 21 2025 | Dec 2 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Devstral SmallvsClaude Haiku 5.5Mistral Large 3vsClaude Haiku 5.5Devstral SmallvsGPT-6.1 SolMistral Large 3vsGPT-6.1 SolDevstral SmallvsGemini 4 ArgonMistral Large 3vsGemini 4 ArgonDevstral SmallvsMuse Spark OpenMistral Large 3vsMuse Spark OpenDevstral SmallvsGrok 4.7Mistral Large 3vsGrok 4.7Devstral SmallvsDeepSeek-V4.1-Flash-1017Mistral Large 3vsDeepSeek-V4.1-Flash-1017Frequently asked questions
Devstral Small and Mistral Large 3 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Mistral Large 3 has a verified first-party API price: $0.50 per million input tokens and $1.50 per million output tokens. No pay-as-you-go API rate is tracked for Devstral Small. Devstral Small shipped 195 days before Mistral Large 3, so benchmark comparisons should account for the intervening progress.
Devstral Small has 24B parameters, while Mistral Large 3 has 675B. Context windows are 128k (Devstral Small) vs 256k (Mistral Large 3).
Direct benchmark comparisons are unavailable — Devstral Small and Mistral Large 3 don't publish scores on any of the same benchmarks.