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/13B/34B | 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. | 16k | — |
| Overview | ||
| Company | Meta | NVIDIA |
| Release date | Aug 24 2023 | Oct 23 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Code LlamavsClaude Haiku 5.5Nemotron 3.5 Bolt E4B 4GBvsClaude Haiku 5.5Code LlamavsGPT-6.1 SolNemotron 3.5 Bolt E4B 4GBvsGPT-6.1 SolCode LlamavsGemini 4 ArgonNemotron 3.5 Bolt E4B 4GBvsGemini 4 ArgonCode LlamavsGrok 4.7Nemotron 3.5 Bolt E4B 4GBvsGrok 4.7Code LlamavsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt E4B 4GBvsDeepSeek-V4.1-Flash-1017Code LlamavsMistral Large 4Nemotron 3.5 Bolt E4B 4GBvsMistral Large 4Frequently asked questions
Code Llama 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. Code Llama shipped 1156 days before Nemotron 3.5 Bolt E4B 4GB, so benchmark comparisons should account for the intervening progress.
Code Llama has 7B/13B/34B parameters, while Nemotron 3.5 Bolt E4B 4GB has 8B.
Direct benchmark comparisons are unavailable — Code Llama and Nemotron 3.5 Bolt E4B 4GB don't publish scores on any of the same benchmarks.