Nemotron 3 Supervso1-mini
Nemotron 3 Super | o1-mini | |
|---|---|---|
| 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. | 120B | — |
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 | 128k |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $1.10 |
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. | — | $4.40 |
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. | — | $0.55 |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 79.2% | 60% |
| 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. | 60.5% | — |
AA Intelligence IndexOverall intelligence — Artificial Analysis composite intelligence index across evals | 36 | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Mar 11 2026 | Sep 12 2024 |
| Access | Open Source | Proprietary |
Other comparisons
Frequently asked questions
Nemotron 3 Super leads o1-mini on 1 of the 1 benchmark they both report (GPQA Diamond). Only o1-mini has a verified first-party API price: $1.10 per million input tokens and $4.40 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3 Super. o1-mini shipped 545 days before Nemotron 3 Super, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Nemotron 3 Super) vs 128k (o1-mini). Nemotron 3 Super is open source, while o1-mini is proprietary.
On GPQA Diamond, Nemotron 3 Super leads at 79.2% vs o1-mini at 60%.
Nemotron 3 Super was released by NVIDIA on Mar 11 2026.
o1-mini was released by OpenAI on Sep 12 2024.
Nemotron 3 Super leads on GPQA Diamond — Nemotron 3 Super 79.2% vs o1-mini 60%.
Only o1-mini has a verified first-party API price: $1.10 per million input tokens and $4.40 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron 3 Super. Rates are pay-as-you-go API prices verified on August 18, 2026.
Nemotron 3 Super has a 1M context window; o1-mini has 128k.
Nemotron 3 Super is an open source model released by NVIDIA. o1-mini is a proprietary model released by OpenAI.