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 | 3B |
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 | Sep 5 2024 | Oct 16 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2.5vsClaude Haiku 5.5Ministral 3BvsClaude Haiku 5.5DeepSeek V2.5vsGPT-6.1 SolMinistral 3BvsGPT-6.1 SolDeepSeek V2.5vsGemini 4 ArgonMinistral 3BvsGemini 4 ArgonDeepSeek V2.5vsMuse Spark OpenMinistral 3BvsMuse Spark OpenDeepSeek V2.5vsGrok 4.7Ministral 3BvsGrok 4.7DeepSeek V2.5vsKimi K3Ministral 3BvsKimi K3Frequently asked questions
DeepSeek V2.5 and Ministral 3B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2.5 shipped 41 days before Ministral 3B, so benchmark comparisons should account for the intervening progress.
DeepSeek V2.5 has 236B parameters, while Ministral 3B has 3B. Context windows are 128k (DeepSeek V2.5) vs 128k (Ministral 3B).
Direct benchmark comparisons are unavailable — DeepSeek V2.5 and Ministral 3B don't publish scores on any of the same benchmarks.