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. | 236B | 119B |
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. | — | $0.15 |
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. | — | $0.60 |
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. | — | $0.15Mistral |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $0.60Mistral |
| — | $60.00Mistral 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. | — | 6% |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | Sep 5 2024 | Mar 16 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5vsClaude Haiku 5.5Mistral Small 4vsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolMistral Small 4vsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonMistral Small 4vsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenMistral Small 4vsMuse Spark OpenDeepSeek V2.5vsGrok 4.7Mistral Small 4vsGrok 4.7DeepSeek V2.5vsKimi K3Mistral Small 4vsKimi K3Frequently asked questions
DeepSeek V2.5 and Mistral Small 4 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Mistral Small 4 has a verified first-party API price: $0.15 per million input tokens and $0.60 per million output tokens. No pay-as-you-go API rate is tracked for DeepSeek V2.5. DeepSeek V2.5 shipped 557 days before Mistral Small 4, so benchmark comparisons should account for the intervening progress.
DeepSeek V2.5 has 236B parameters, while Mistral Small 4 has 119B. Context windows are 128k (DeepSeek V2.5) vs 256k (Mistral Small 4). DeepSeek V2.5 is open weight, while Mistral Small 4 is closed.
Direct benchmark comparisons are unavailable — DeepSeek V2.5 and Mistral Small 4 don't publish scores on any of the same benchmarks.