Safety · NVIDIA

Nemotron 4 7B on TruthfulQA: score, rank and what it means

Nemotron 4 7B scores 63.7 on TruthfulQA, placing it #477 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
63.7
0–100 scale
Rank
#477
of 600
Percentile
21th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
27.4
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Nemotron 4 7B highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 4 7B sits at #477 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 27.4 points. The median model in this index scores 76.3, which puts Nemotron 4 7B below the midpoint.

NVIDIA models average 67.4 on this benchmark. Nemotron 4 7B is 3.7 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 4 7B is 3.8 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 63.7 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 $1.05 per million input tokens, Nemotron 4 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.

ModelProviderContextInput / 1MAvg score
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Command R+ 7B Cohere 8192 $0.95 56.2
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
Yi-Large 8B 01.AI 32768 $0.88 56.1

Other benchmarks for Nemotron 4 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 523 13th
GPQA Diamond 51.4 505 16th
SWE-bench Verified 45.4 463 23th
HumanEval 58.1 522 13th
MATH-500 58.9 478 20th
AIME 2025 44.2 507 16th
LiveCodeBench 47.9 467 22th
IFEval 69.3 470 22th
HellaSwag 73.1 479 20th
MMMU 53.8 512 15th
Arena Elo 1244.0 499 17th

FAQ

What score does Nemotron 4 7B get on TruthfulQA?

Nemotron 4 7B scores 63.7 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Nemotron 4 7B rank on TruthfulQA?

It ranks #477 of 600 models, in the 21st percentile. The leader is GPT-5.1 Max at 91.1.

Is Nemotron 4 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 4 7B cost?

Nemotron 4 7B costs $1.05 per million input tokens and $4.86 per million output tokens.

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