Nemotron Nano 7B on TruthfulQA: score, rank and what it means
Nemotron Nano 7B scores 56.6 on TruthfulQA, placing it #558 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.
Score distribution
The chart shows the top 10 models on TruthfulQA, with Nemotron Nano 7B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 2 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 3 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 4 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 5 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 6 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 7 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 8 | Qwen3-Max Max | Alibaba Cloud | 400000 | $18.53 | 85.9 |
| 9 | GPT-5.1 | OpenAI | 2000000 | $19.01 | 86.0 |
| 10 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
What this score means
On TruthfulQA, Nemotron Nano 7B sits at #558 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 34.5 points. The median model in this index scores 76.3, which puts Nemotron Nano 7B below the midpoint.
NVIDIA models average 67.4 on this benchmark. Nemotron Nano 7B is 10.8 points below that provider line, so it is a weaker result than the average NVIDIA model.
Among small open-weight models, the average is 59.9. Nemotron Nano 7B is 3.3 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 56.6 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 $0.35 per million input tokens, Nemotron Nano 7B is below the median input price of $4.00 across the 600 models scored on TruthfulQA. 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 |
|---|---|---|---|---|
| Llama 3 Anyscale 1.5B | Anyscale | 16384 | $0.43 | 48.9 |
| Hunyuan-Large 1.5B | Tencent | 8192 | $0.54 | 50.5 |
| Llama 3.3 1.5B | Meta AI | 4096 | $0.61 | 52.2 |
| Llama 3.1 Turbo 1.5B | Together AI | 16384 | $0.46 | 49.8 |
| Nemotron Nano 7B | NVIDIA | 8192 | $0.35 | 47.5 |
| Phi-3.5 8B | Microsoft | 16384 | $0.59 | 51.2 |
| Yi-Lightning 1.5B | 01.AI | 4096 | $0.54 | 50.0 |
Other benchmarks for Nemotron Nano 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 56.9 | 561 | 7th | |
| GPQA Diamond | 41.7 | 580 | 3th | |
| SWE-bench Verified | 31.0 | 576 | 4th | |
| HumanEval | 49.5 | 576 | 4th | |
| MATH-500 | 48.7 | 570 | 5th | |
| AIME 2025 | 31.3 | 580 | 3th | |
| LiveCodeBench | 32.3 | 579 | 4th | |
| IFEval | 60.7 | 569 | 5th | |
| HellaSwag | 67.6 | 560 | 7th | |
| MMMU | 46.7 | 575 | 4th | |
| Arena Elo | 1180.8 | 575 | 4th |
FAQ
What score does Nemotron Nano 7B get on TruthfulQA?
Nemotron Nano 7B scores 56.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.
How does Nemotron Nano 7B rank on TruthfulQA?
It ranks #558 of 600 models, in the 7th percentile. The leader is GPT-5.1 Max at 91.1.
Is Nemotron Nano 7B good at TruthfulQA?
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 TruthfulQA score calculated?
TruthfulQA is a safety 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 7B cost?
Nemotron Nano 7B costs $0.35 per million input tokens and $1.30 per million output tokens.