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. | 7B | 2B/7B |
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 | 8k |
| Overview | ||
| Company | DeepSeek | |
| Release date | Feb 5 2024 | Feb 21 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek-MathvsClaude Haiku 5.5Gemma 1vsClaude Haiku 5.5DeepSeek-MathvsGPT-6.1 SolGemma 1vsGPT-6.1 SolDeepSeek-MathvsMuse Spark OpenGemma 1vsMuse Spark OpenDeepSeek-MathvsGrok 4.7Gemma 1vsGrok 4.7DeepSeek-MathvsMistral Large 4Gemma 1vsMistral Large 4DeepSeek-MathvsKimi K3Gemma 1vsKimi K3Frequently asked questions
DeepSeek-Math and Gemma 1 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-Math shipped 16 days before Gemma 1, so benchmark comparisons should account for the intervening progress.
DeepSeek-Math has 7B parameters, while Gemma 1 has 2B/7B. Context windows are 4k (DeepSeek-Math) vs 8k (Gemma 1).
Direct benchmark comparisons are unavailable — DeepSeek-Math and Gemma 1 don't publish scores on any of the same benchmarks.