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 | 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. | 4k | 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 | Jan 11 2024 | May 21 2025 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek-MoEvsClaude Haiku 5.5Devstral SmallvsClaude Haiku 5.5DeepSeek-MoEvsGPT-6.1 SolDevstral SmallvsGPT-6.1 SolDeepSeek-MoEvsGemini 4 ArgonDevstral SmallvsGemini 4 ArgonDeepSeek-MoEvsMuse Spark OpenDevstral SmallvsMuse Spark OpenDeepSeek-MoEvsGrok 4.7Devstral SmallvsGrok 4.7DeepSeek-MoEvsKimi K3Devstral SmallvsKimi K3Frequently asked questions
DeepSeek-MoE and Devstral Small don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-MoE shipped 496 days before Devstral Small, so benchmark comparisons should account for the intervening progress.
DeepSeek-MoE has 16B parameters, while Devstral Small has 24B. Context windows are 4k (DeepSeek-MoE) vs 128k (Devstral Small).
Direct benchmark comparisons are unavailable — DeepSeek-MoE and Devstral Small don't publish scores on any of the same benchmarks.