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 | 24B |
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 |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | — | 46.8% |
| Overview | ||
| Company | DeepSeek | Mistral |
| Release date | May 6 2024 | May 21 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek V2vsClaude Haiku 5.5Devstral SmallvsClaude Haiku 5.5DeepSeek V2vsGPT-6.1 SolDevstral SmallvsGPT-6.1 SolDeepSeek V2vsGemini 4 ArgonDevstral SmallvsGemini 4 ArgonDeepSeek V2vsMuse Spark OpenDevstral SmallvsMuse Spark OpenDeepSeek V2vsGrok 4.7Devstral SmallvsGrok 4.7DeepSeek V2vsKimi K3Devstral SmallvsKimi K3Frequently asked questions
DeepSeek V2 and Devstral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek V2 shipped 380 days before Devstral Small, so benchmark comparisons should account for the intervening progress.
DeepSeek V2 has 236B parameters, while Devstral Small has 24B. Context windows are 128k (DeepSeek V2) vs 128k (Devstral Small).
Direct benchmark comparisons are unavailable — DeepSeek V2 and Devstral Small don't publish scores on any of the same benchmarks.