Compare AI models

Specifications
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one.
816B74B
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view.
1M—
Benchmarks
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.
76.4%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.
89.2%52.2%
Overview
CompanyMetaNVIDIA
Release dateOct 15 2026Oct 15 2026
AccessOpen WeightOpen Weight
Model detailsView modelView model

Frequently asked questions

Muse Spark Open leads Nemotron 3.5 Bolt 74B on 2 of the 2 benchmarks they both report (Terminal-Bench 2.1, MCP Atlas). Both models were released on the same day — Oct 15 2026.

Muse Spark Open has 816B parameters, while Nemotron 3.5 Bolt 74B has 74B.

On Terminal-Bench 2.1, Muse Spark Open leads at 76.4% vs Nemotron 3.5 Bolt 74B at 50.98%. On MCP Atlas, Muse Spark Open leads at 89.2% vs Nemotron 3.5 Bolt 74B at 52.2%.