Nemotron Nano 2vsGPT-5.4-Pro
Nemotron Nano 2 | GPT-5.4-Pro | |
|---|---|---|
| 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. | 9B | — |
| 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. | — | $30.00 |
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. | — | $180.00 |
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. | — | $30.00Azure |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $180.00Azure |
| Benchmarks | ||
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 64% | 94.4% |
| BenchmarksPublished by one model only | ||
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. | 71.1% | — |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | — | 89.3% |
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. | — | 58.7% |
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. | — | 83.3% |
FrontierMath · Tier 1–3Advanced math — Very hard, research-level math problems. Tiers 1–3 are the (still extremely difficult) lower tiers. Higher is better. | — | 50% |
FrontierMath · Tier 4Advanced math — Very hard, research-level math problems. Tier 4 is the hardest — close to what professional research mathematicians tackle. Higher is better. | — | 38% |
GDPval (win/tie rate)Knowledge work — How often the AI's work matches or beats a human expert's on real knowledge-work tasks. Higher is better. | — | 82% |
| Overview | ||
| Company | NVIDIA | OpenAI |
| Release date | Aug 18 2025 | Mar 5 2026 |
| Access | Open Weight | Proprietary |
Other comparisons
Frequently asked questions
GPT-5.4-Pro leads Nemotron Nano 2 on 1 of the 1 benchmark they both report (GPQA Diamond). Only GPT-5.4-Pro has a verified first-party API price: $30.00 per million input tokens and $180.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron Nano 2. Nemotron Nano 2 shipped 199 days before GPT-5.4-Pro, so benchmark comparisons should account for the intervening progress.
Nemotron Nano 2 is open weight, while GPT-5.4-Pro is proprietary.
On GPQA Diamond, GPT-5.4-Pro leads at 94.4% vs Nemotron Nano 2 at 64%.
Nemotron Nano 2 was released by NVIDIA on Aug 18 2025.
GPT-5.4-Pro was released by OpenAI on Mar 5 2026.
GPT-5.4-Pro leads on GPQA Diamond — Nemotron Nano 2 64% vs GPT-5.4-Pro 94.4%.
Only GPT-5.4-Pro has a verified first-party API price: $30.00 per million input tokens and $180.00 per million output tokens. No pay-as-you-go API rate is tracked for Nemotron Nano 2. Rates are pay-as-you-go API prices verified on August 18, 2026.
Nemotron Nano 2 is an open weight model released by NVIDIA. GPT-5.4-Pro is a proprietary model released by OpenAI.