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. | 671B | — |
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 | 32k |
| 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. | $0.27SiliconFlow | $2.00Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.41SiliconFlow | $6.00Mistral |
| $74.50SiliconFlow · fp8 | $700Mistral | |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | Sep 29 2025 | Feb 26 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V3.2 ExpvsClaude Haiku 5.5Mistral LargevsClaude Haiku 5.5DeepSeek V3.2 ExpvsGPT-6.1 SolMistral LargevsGPT-6.1 SolDeepSeek V3.2 ExpvsGemini 4 ArgonMistral LargevsGemini 4 ArgonDeepSeek V3.2 ExpvsMuse Spark OpenMistral LargevsMuse Spark OpenDeepSeek V3.2 ExpvsGrok 4.7Mistral LargevsGrok 4.7DeepSeek V3.2 ExpvsKimi K3Mistral LargevsKimi K3Frequently asked questions
DeepSeek V3.2 Exp and Mistral Large don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral Large shipped 581 days before DeepSeek V3.2 Exp, so benchmark comparisons should account for the intervening progress.
Context windows are 128k (DeepSeek V3.2 Exp) vs 32k (Mistral Large). DeepSeek V3.2 Exp is open weight, while Mistral Large is closed.
Direct benchmark comparisons are unavailable — DeepSeek V3.2 Exp and Mistral Large don't publish scores on any of the same benchmarks.