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 | 8B |
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 | 128k |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | May 6 2024 | Oct 16 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2vsClaude Haiku 5.5Ministral 8BvsClaude Haiku 5.5DeepSeek V2vsGPT-6.1 SolMinistral 8BvsGPT-6.1 SolDeepSeek V2vsGemini 4 ArgonMinistral 8BvsGemini 4 ArgonDeepSeek V2vsMuse Spark OpenMinistral 8BvsMuse Spark OpenDeepSeek V2vsGrok 4.7Ministral 8BvsGrok 4.7DeepSeek V2vsKimi K3Ministral 8BvsKimi K3Frequently asked questions
DeepSeek V2 and Ministral 8B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2 shipped 163 days before Ministral 8B, so benchmark comparisons should account for the intervening progress.
DeepSeek V2 has 236B parameters, while Ministral 8B has 8B. Context windows are 128k (DeepSeek V2) vs 128k (Ministral 8B).
Direct benchmark comparisons are unavailable — DeepSeek V2 and Ministral 8B don't publish scores on any of the same benchmarks.