Reasoning · NVIDIA

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

Nemotron 4 7B scores 51.4 on GPQA Diamond, placing it #505 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
51.4
0–100 scale
Rank
#505
of 600
Percentile
16th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
35.6
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Nemotron 4 7B sits at #505 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 35.6 points. The median model in this index scores 68.8, which puts Nemotron 4 7B below the midpoint.

NVIDIA models average 57.5 on this benchmark. Nemotron 4 7B is 6.1 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 49.3. Nemotron 4 7B is 2.1 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 51.4 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Mistral Small 3 8B Mistral AI 8192 $0.99 57.2
Llama 3.1 Cerebras 7B Cerebras 32768 $0.95 56.5
Llama 3.3 7B Meta AI 8192 $1.18 57.8
Seed-OSS 7B ByteDance 8192 $0.85 55.5
Nemotron 4 7B NVIDIA 16384 $1.05 56.9
Mixtral Turbo 8B Together AI 4096 $0.75 54.1
Llama 3 Modal 7B Modal 4096 $0.88 55.2

Other benchmarks for Nemotron 4 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 523 13th
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
TruthfulQA 63.7 477 21th
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 GPQA Diamond?

Nemotron 4 7B scores 51.4 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Nemotron 4 7B rank on GPQA Diamond?

It ranks #505 of 600 models, in the 16th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Nemotron 4 7B good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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