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 |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 91.9% | 86.43% |
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 48% | — |
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. | 76.2% | — |
Next.js EvalsNext.js coding — Vercel's open eval of how well AI coding agents build and migrate real Next.js apps — measured as the share of tasks the agent completes successfully. Higher is better. | 52% | — |
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% |
ARC-AGI-2Abstract reasoning — Puzzle-style tests of abstract reasoning and pattern-finding — the kind of thing people find easy but AIs often struggle with. Higher is better. | 31.1% | — |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 81% | — |
| Overview | ||
| Company | NVIDIA | |
| Release date | Nov 18 2025 | Oct 15 2026 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Gemini 3.0 ProvsClaude Haiku 5.5Nemotron 3.5 Bolt 74BvsClaude Haiku 5.5Gemini 3.0 ProvsGPT-6.1 SolNemotron 3.5 Bolt 74BvsGPT-6.1 SolGemini 3.0 ProvsMuse Spark OpenNemotron 3.5 Bolt 74BvsMuse Spark OpenGemini 3.0 ProvsGrok 4.7Nemotron 3.5 Bolt 74BvsGrok 4.7Gemini 3.0 ProvsDeepSeek-V4.1-FlashNemotron 3.5 Bolt 74BvsDeepSeek-V4.1-FlashGemini 3.0 ProvsMistral Large 4Nemotron 3.5 Bolt 74BvsMistral Large 4Frequently asked questions
Gemini 3.0 Pro leads Nemotron 3.5 Bolt 74B on 1 of the 1 benchmark they both report (GPQA Diamond). Gemini 3.0 Pro shipped 331 days before Nemotron 3.5 Bolt 74B, so benchmark comparisons should account for the intervening progress.
Gemini 3.0 Pro is closed, while Nemotron 3.5 Bolt 74B is open weight.
On GPQA Diamond, Gemini 3.0 Pro leads at 91.9% vs Nemotron 3.5 Bolt 74B at 86.43%.