Nemotron 3 Ultravso3-mini
Nemotron 3 Ultra | o3-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. | 550B | — |
| 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 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $0.50DeepInfra | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $2.20DeepInfra | — |
| Benchmarks | ||
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. | 71.9% | 49.3% |
| BenchmarksPublished by one model only | ||
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 44.4% | — |
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. | 26.7% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 86.7% | — |
AA Intelligence IndexOverall intelligence — Artificial Analysis composite intelligence index across evals | 48 | — |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Jun 4 2026 | Jan 31 2025 |
| Access | Open Source | Proprietary |
Other comparisons
Frequently asked questions
Nemotron 3 Ultra leads o3-mini on 1 of the 1 benchmark they both report (SWE-Bench Verified). Only o3-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 Ultra. o3-mini shipped 489 days before Nemotron 3 Ultra, so benchmark comparisons should account for the intervening progress.
Nemotron 3 Ultra is open source, while o3-mini is proprietary.
On SWE-Bench Verified, Nemotron 3 Ultra leads at 71.9% vs o3-mini at 49.3%.
Nemotron 3 Ultra was released by NVIDIA on Jun 4 2026.
o3-mini was released by OpenAI on Jan 31 2025.
Nemotron 3 Ultra leads on SWE-Bench Verified — Nemotron 3 Ultra 71.9% vs o3-mini 49.3%.
Only o3-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 Ultra. Rates are pay-as-you-go API prices verified on August 18, 2026.
Nemotron 3 Ultra is an open source model released by NVIDIA. o3-mini is a proprietary model released by OpenAI.