Gemini 2.5 ProvsNemotron 3 Nano
Gemini 2.5 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 |
| API pricingUSD per 1M tokens · lower wins · base tier | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $1.25 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $10.00 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.125 | — |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 86.4% | 73% |
| BenchmarksPublished by one model only | ||
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. | 20% | — |
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. | 59.6% | — |
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% |
MMMUMultimodal — Tests the AI on understanding images and text together across many college subjects. Higher is better. | 68% | — |
| Overview | ||
| Company | NVIDIA | |
| Release date | Mar 25 2025 | Dec 15 2025 |
| Access | Proprietary | Open Source |
Other comparisons
Frequently asked questions
Gemini 2.5 Pro leads Nemotron 3 Nano on 1 of the 1 benchmark they both report (GPQA Diamond). Only Gemini 2.5 Pro has a verified first-party API price: $1.25 per million input tokens and $10.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3 Nano. Gemini 2.5 Pro shipped 265 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
Gemini 2.5 Pro is proprietary, while Nemotron 3 Nano is open source.
On GPQA Diamond, Gemini 2.5 Pro leads at 86.4% vs Nemotron 3 Nano at 73%.
Gemini 2.5 Pro was released by Google on Mar 25 2025.
Nemotron 3 Nano was released by NVIDIA on Dec 15 2025.
Gemini 2.5 Pro leads on GPQA Diamond — Gemini 2.5 Pro 86.4% vs Nemotron 3 Nano 73%.
Only Gemini 2.5 Pro has a verified first-party API price: $1.25 per million input tokens and $10.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3 Nano. Rates are pay-as-you-go API prices verified on August 18, 2026.
Gemini 2.5 Pro is a proprietary model released by Google. Nemotron 3 Nano is an open source model released by NVIDIA.