Nemotron 3 NanovsQwen1.5
Nemotron 3 Nano | Qwen1.5 | |
|---|---|---|
| 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 | 72B |
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. | — | 32k |
| 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. | 68.3% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 73% | — |
| Overview | ||
| Company | NVIDIA | Qwen |
| Release date | Dec 15 2025 | Feb 4 2024 |
| Access | Open Source | Open Weight |
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Frequently asked questions
Nemotron 3 Nano and Qwen1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen1.5 shipped 680 days before Nemotron 3 Nano, so benchmark comparisons should account for the intervening progress.
Nemotron 3 Nano has 30B parameters, while Qwen1.5 has 72B. Nemotron 3 Nano is open source, while Qwen1.5 is open weight.
Direct benchmark comparisons are unavailable — Nemotron 3 Nano and Qwen1.5 don't publish scores on any of the same benchmarks.
Nemotron 3 Nano was released by NVIDIA on Dec 15 2025.
Qwen1.5 was released by Qwen on Feb 4 2024.
Nemotron 3 Nano is an open source model released by NVIDIA. Qwen1.5 is an open weight model released by Qwen.