Nemotron Nano 1.5B on MMLU-Pro: score, rank and what it means
Nemotron Nano 1.5B scores 50.7 on MMLU-Pro, placing it #591 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Nemotron Nano 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Nemotron Nano 1.5B sits at #591 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 40.9 points. The median model in this index scores 76.1, which puts Nemotron Nano 1.5B below the midpoint.
NVIDIA models average 67.0 on this benchmark. Nemotron Nano 1.5B is 16.2 points below that provider line, so it is a weaker result than the average NVIDIA model.
Among small open-weight models, the average is 59.8. Nemotron Nano 1.5B is 9.1 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 50.7 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $0.10 per million input tokens, Nemotron Nano 1.5B is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Phi-3.5 1.5B | Microsoft | 32768 | $0.25 | 44.5 |
| OLMo 2 1.5B | Allen Institute for AI | 16384 | $0.28 | 44.0 |
| SmolLM3 8B | Hugging Face | 32768 | $0.21 | 44.0 |
| Molmo 1.5B | Allen Institute for AI | 8192 | $0.21 | 42.8 |
| Nemotron Nano 1.5B | NVIDIA | 8192 | $0.10 | 41.5 |
| Pythia 7B | EleutherAI | 8192 | $0.10 | 40.7 |
| Pythia 8B | EleutherAI | 32768 | $0.16 | 41.4 |
Other benchmarks for Nemotron Nano 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 38.8 | 590 | 2th | |
| SWE-bench Verified | 26.2 | 593 | 1th | |
| HumanEval | 44.0 | 591 | 2th | |
| MATH-500 | 39.3 | 592 | 1th | |
| AIME 2025 | 25.6 | 592 | 1th | |
| LiveCodeBench | 26.3 | 590 | 2th | |
| IFEval | 52.0 | 596 | 1th | |
| TruthfulQA | 50.1 | 591 | 2th | |
| HellaSwag | 61.1 | 594 | 1th | |
| MMMU | 42.8 | 587 | 2th | |
| Arena Elo | 1125.7 | 595 | 1th |
FAQ
What score does Nemotron Nano 1.5B get on MMLU-Pro?
Nemotron Nano 1.5B scores 50.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Nemotron Nano 1.5B rank on MMLU-Pro?
It ranks #591 of 600 models, in the 2nd percentile. The leader is GPT-5.2 Pro at 91.6.
Is Nemotron Nano 1.5B good at MMLU-Pro?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.
How is the MMLU-Pro score calculated?
MMLU-Pro is a knowledge benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Nemotron Nano 1.5B cost?
Nemotron Nano 1.5B costs $0.10 per million input tokens and $0.48 per million output tokens.