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 | 74B |
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 | 256k |
| These models have no shared benchmark scores. | ||
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | — | 50.98% |
MCP AtlasMulti-step tool use — Can the AI chain together many tools and steps to complete one bigger task, rather than doing just a single thing? Higher is better. | — | 52.2% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | — | 66.75% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 86.43% |
| Overview | ||
| Company | Meta | NVIDIA |
| Release date | Aug 24 2023 | Oct 15 2026 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Code LlamavsClaude Haiku 5.5Nemotron 3.5 Bolt 74BvsClaude Haiku 5.5Code LlamavsGPT-6.1 SolNemotron 3.5 Bolt 74BvsGPT-6.1 SolCode LlamavsGemini 4 ArgonNemotron 3.5 Bolt 74BvsGemini 4 ArgonCode LlamavsGrok 4.7Nemotron 3.5 Bolt 74BvsGrok 4.7Code LlamavsDeepSeek-V4.1-Flash-1017Nemotron 3.5 Bolt 74BvsDeepSeek-V4.1-Flash-1017Code LlamavsMistral Large 4Nemotron 3.5 Bolt 74BvsMistral Large 4Frequently asked questions
Code Llama and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Code Llama shipped 1148 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.
Code Llama has 7B/13B/34B parameters, while Nemotron 3.5 Bolt 74B has 74B. Context windows are 16k (Code Llama) vs 256k (Nemotron 3.5 Bolt 74B).
Direct benchmark comparisons are unavailable — Code Llama and Nemotron 3.5 Bolt 74B don't publish scores on any of the same benchmarks.