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. | 16B/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 | Jun 17 2024 | Oct 16 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek Coder V2vsClaude Haiku 5.5Ministral 8BvsClaude Haiku 5.5DeepSeek Coder V2vsGPT-6.1 SolMinistral 8BvsGPT-6.1 SolDeepSeek Coder V2vsGemini 4 ArgonMinistral 8BvsGemini 4 ArgonDeepSeek Coder V2vsMuse Spark OpenMinistral 8BvsMuse Spark OpenDeepSeek Coder V2vsGrok 4.7Ministral 8BvsGrok 4.7DeepSeek Coder V2vsKimi K3Ministral 8BvsKimi K3Frequently asked questions
DeepSeek Coder V2 and Ministral 8B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek Coder V2 shipped 121 days before Ministral 8B, so benchmark comparisons should account for the intervening progress.
DeepSeek Coder V2 has 16B/236B parameters, while Ministral 8B has 8B. Context windows are 128k (DeepSeek Coder V2) vs 128k (Ministral 8B).
Direct benchmark comparisons are unavailable — DeepSeek Coder V2 and Ministral 8B don't publish scores on any of the same benchmarks.