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 | 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. | 4k | — |
| Overview | ||
| Company | DeepSeek | NVIDIA |
| Release date | Feb 5 2024 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
DeepSeek-MathvsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5DeepSeek-MathvsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolDeepSeek-MathvsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonDeepSeek-MathvsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenDeepSeek-MathvsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7DeepSeek-MathvsMistral Large 4Nemotron 3.5 Bolt E4B 4GBvsMistral Large 4Frequently asked questions
DeepSeek-Math and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. DeepSeek-Math shipped 991 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
DeepSeek-Math has 7B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — DeepSeek-Math and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.