LLaMA 3.3vsNemotron Nano 2
LLaMA 3.3 | Nemotron Nano 2 | |
|---|---|---|
| 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. | 70B | 9B |
| API pricingUSD per 1M tokens · lower wins | ||
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. | $0.10DeepInfra | — |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | $0.32DeepInfra | — |
| 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% |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 64% |
| Overview | ||
| Company | Meta | NVIDIA |
| Release date | Dec 6 2024 | Aug 18 2025 |
| Access | Open Weight | Open Weight |
Other comparisons
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Frequently asked questions
LLaMA 3.3 and Nemotron Nano 2 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. LLaMA 3.3 shipped 255 days before Nemotron Nano 2, so benchmark comparisons should account for the intervening progress.
LLaMA 3.3 has 70B parameters, while Nemotron Nano 2 has 9B.
Direct benchmark comparisons are unavailable — LLaMA 3.3 and Nemotron Nano 2 don't publish scores on any of the same benchmarks.
LLaMA 3.3 was released by Meta on Dec 6 2024.
Nemotron Nano 2 was released by NVIDIA on Aug 18 2025.