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. | — | 74B |
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. | 88% | 50.98% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 88% | 66.75% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 95.5% | — |
Terminal-Bench 2.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | 88% | — |
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% |
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 64.5% | — |
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% |
OSWorld-VerifiedAgentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 85% | — |
| Overview | ||
| Company | Anthropic | NVIDIA |
| Release date | Jun 9 2026 | Oct 15 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude Mythos 5vsGPT-6.1 SolNemotron 3.5 Bolt 74BvsGPT-6.1 SolClaude Mythos 5vsGemini 4 ArgonNemotron 3.5 Bolt 74BvsGemini 4 ArgonClaude Mythos 5vsMuse Spark OpenNemotron 3.5 Bolt 74BvsMuse Spark OpenClaude Mythos 5vsGrok 4.7Nemotron 3.5 Bolt 74BvsGrok 4.7Claude Mythos 5vsDeepSeek-V4.1-FlashNemotron 3.5 Bolt 74BvsDeepSeek-V4.1-FlashClaude Mythos 5vsMistral Large 4Nemotron 3.5 Bolt 74BvsMistral Large 4Frequently asked questions
Claude Mythos 5 leads Nemotron 3.5 Bolt 74B on 2 of the 2 benchmarks they both report (Terminal-Bench 2.1, BrowseComp). Claude Mythos 5 shipped 128 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.
Claude Mythos 5 is closed, while Nemotron 3.5 Bolt 74B is open weight.
On Terminal-Bench 2.1, Claude Mythos 5 leads at 88% vs Nemotron 3.5 Bolt 74B at 50.98%. On BrowseComp, Claude Mythos 5 leads at 88% vs Nemotron 3.5 Bolt 74B at 66.75%.