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. | 1.8B/3.25B | 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. | 32k | — |
| Overview | ||
| Company | NVIDIA | |
| Release date | Dec 6 2023 | Oct 23 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 1.0 NanovsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Gemini 1.0 NanovsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolGemini 1.0 NanovsMuse Spark OpenNemotron 3.5 Bolt E4B 4GBvsMuse Spark OpenGemini 1.0 NanovsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7Gemini 1.0 NanovsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Gemini 1.0 NanovsMistral Large 4Nemotron 3.5 Bolt E4B 4GBvsMistral Large 4Frequently asked questions
Gemini 1.0 Nano 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. Gemini 1.0 Nano shipped 1052 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Gemini 1.0 Nano has 1.8B/3.25B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B. Gemini 1.0 Nano is closed, while Nemotron 3.5 Bolt E4B 4GB is open weight.
Direct benchmark comparisons are unavailable — Gemini 1.0 Nano and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.