Gemini 3.0 ProvsNemotron 3 Nano
Gemini 3.0 Pro | Nemotron 3 Nano | |
|---|---|---|
| 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. | — | 30B |
| 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% | 73% |
| BenchmarksPublished by one model only | ||
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. | 67% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 68.3% |
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 | Dec 15 2025 |
| Access | Proprietary | Open Source |
Other comparisons
Gemini 3.0 ProvsClaude Opus 5Nemotron 3 NanovsClaude Opus 5Gemini 3.0 ProvsGPT-5.6 SolNemotron 3 NanovsGPT-5.6 SolGemini 3.0 ProvsMuse GlimmerNemotron 3 NanovsMuse GlimmerGemini 3.0 ProvsGrok 4.6Nemotron 3 NanovsGrok 4.6Gemini 3.0 ProvsDeepSeek-V4-Pro-0813Nemotron 3 NanovsDeepSeek-V4-Pro-0813Gemini 3.0 ProvsMistral Medium 3.5Nemotron 3 NanovsMistral Medium 3.5
Frequently asked questions
Gemini 3.0 Pro leads Nemotron 3 Nano on 1 of the 1 benchmark they both report (GPQA Diamond). Gemini 3.0 Pro shipped 27 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
Gemini 3.0 Pro is proprietary, while Nemotron 3 Nano is open source.
On GPQA Diamond, Gemini 3.0 Pro leads at 91.9% vs Nemotron 3 Nano at 73%.
Gemini 3.0 Pro was released by Google on Nov 18 2025.
Nemotron 3 Nano was released by NVIDIA on Dec 15 2025.
Gemini 3.0 Pro leads on GPQA Diamond — Gemini 3.0 Pro 91.9% vs Nemotron 3 Nano 73%.
Gemini 3.0 Pro is a proprietary model released by Google. Nemotron 3 Nano is an open source model released by NVIDIA.