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 | 7B |
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 | 8k |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | May 6 2024 | Sep 27 2023 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2vsClaude Haiku 5.5Mistral 7BvsClaude Haiku 5.5DeepSeek V2vsGPT-6.1 SolMistral 7BvsGPT-6.1 SolDeepSeek V2vsGemini 4 ArgonMistral 7BvsGemini 4 ArgonDeepSeek V2vsMuse Spark OpenMistral 7BvsMuse Spark OpenDeepSeek V2vsGrok 4.7Mistral 7BvsGrok 4.7DeepSeek V2vsKimi K3Mistral 7BvsKimi K3Frequently asked questions
DeepSeek V2 and Mistral 7B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mistral 7B shipped 222 days before DeepSeek V2, so benchmark comparisons should account for the intervening progress.
DeepSeek V2 has 236B parameters, while Mistral 7B has 7B. Context windows are 128k (DeepSeek V2) vs 8k (Mistral 7B).
Direct benchmark comparisons are unavailable — DeepSeek V2 and Mistral 7B don't publish scores on any of the same benchmarks.