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. | 7B/67B | — |
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. | 4k | 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. | — | $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 | |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | Nov 29 2023 | Feb 26 2024 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
DeepSeek-LLMvsClaude Haiku 5.5Mistral LargevsClaude Haiku 5.5DeepSeek-LLMvsGPT-6.1 SolMistral LargevsGPT-6.1 SolDeepSeek-LLMvsGemini 4 ArgonMistral LargevsGemini 4 ArgonDeepSeek-LLMvsMuse Spark OpenMistral LargevsMuse Spark OpenDeepSeek-LLMvsGrok 4.7Mistral LargevsGrok 4.7DeepSeek-LLMvsKimi K3Mistral LargevsKimi K3Frequently asked questions
DeepSeek-LLM and Mistral Large don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-LLM shipped 89 days before Mistral Large, so benchmark comparisons should account for the intervening progress.
Context windows are 4k (DeepSeek-LLM) vs 32k (Mistral Large). DeepSeek-LLM is open weight, while Mistral Large is closed.
Direct benchmark comparisons are unavailable — DeepSeek-LLM and Mistral Large don't publish scores on any of the same benchmarks.