Reasoning · NVIDIA

Nemotron 4 8B on GPQA Diamond: score, rank and what it means

Nemotron 4 8B scores 50.8 on GPQA Diamond, placing it #514 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
50.8
0–100 scale
Rank
#514
of 600
Percentile
14th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
36.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Nemotron 4 8B 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 8B sits at #514 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 36.2 points. The median model in this index scores 68.8, which puts Nemotron 4 8B below the midpoint.

NVIDIA models average 57.5 on this benchmark. Nemotron 4 8B is 6.7 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 49.3. Nemotron 4 8B is 1.5 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 50.8 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 $1.06 per million input tokens, Nemotron 4 8B 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
Pythia Base EleutherAI 16384 $0.99 55.9
Llama 3 Replicate 7B Replicate 32768 $0.91 56.0
Mixtral Groq 8B Groq 32768 $0.77 54.8
Mixtral 7B Mistral AI 16384 $0.70 54.1
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Fusion Nano OpenRouter 8192 $2.96 56.8
Llama 3 Hyperbolic 8B Hyperbolic 16384 $0.92 56.0

Other benchmarks for Nemotron 4 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.8 475 21th
SWE-bench Verified 40.9 512 15th
HumanEval 61.2 484 19th
MATH-500 60.0 465 23th
AIME 2025 51.2 449 25th
LiveCodeBench 46.9 477 21th
IFEval 68.8 480 20th
TruthfulQA 65.5 454 24th
HellaSwag 71.7 506 16th
MMMU 55.6 492 18th
Arena Elo 1247.2 495 18th

FAQ

What score does Nemotron 4 8B get on GPQA Diamond?

Nemotron 4 8B scores 50.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Nemotron 4 8B rank on GPQA Diamond?

It ranks #514 of 600 models, in the 14th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Nemotron 4 8B 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 8B cost?

Nemotron 4 8B costs $1.06 per million input tokens and $5.67 per million output tokens.

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