Knowledge · NVIDIA

Nemotron 4 Base on MMLU-Pro: score, rank and what it means

Nemotron 4 Base scores 76.5 on MMLU-Pro, placing it #292 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
76.5
0–100 scale
Rank
#292
of 600
Percentile
51th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
15.1
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Nemotron 4 Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 4 Base sits at #292 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 15.1 points. The median model in this index scores 76.1, which puts Nemotron 4 Base above the midpoint.

NVIDIA models average 67.0 on this benchmark. Nemotron 4 Base is 9.5 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 72.1. Nemotron 4 Base is 4.4 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 76.5 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 $3.29 per million input tokens, Nemotron 4 Base 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.

ModelProviderContextInput / 1MAvg score
Llama 3 Modal Base Modal 16384 $3.21 72.2
Phi-4 Instruct Microsoft 128000 $3.79 75.3
o3 Mini OpenAI 128000 $10.68 76.2
Llama 3 Novita Chat Novita AI 65536 $3.50 74.2
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Llama 3 Hyperbolic Chat Hyperbolic 200000 $3.64 75.1
Llama 3 Modal Modal 32768 $3.82 74.9

Other benchmarks for Nemotron 4 Base

BenchmarkScoreRankPercentileRelative
GPQA Diamond 68.9 299 50th
SWE-bench Verified 60.7 312 48th
HumanEval 76.8 311 48th
MATH-500 76.8 286 52th
AIME 2025 66.7 320 47th
LiveCodeBench 64.2 313 48th
IFEval 81.4 294 51th
TruthfulQA 75.4 323 46th
HellaSwag 85.1 241 60th
MMMU 70.9 276 54th
Arena Elo 1364.5 333 45th

FAQ

What score does Nemotron 4 Base get on MMLU-Pro?

Nemotron 4 Base scores 76.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Nemotron 4 Base rank on MMLU-Pro?

It ranks #292 of 600 models, in the 51st percentile. The leader is GPT-5.2 Pro at 91.6.

Is Nemotron 4 Base good at MMLU-Pro?

Yes, relative to the index: it is above the median and inside the top half of scores. 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 4 Base cost?

Nemotron 4 Base costs $3.29 per million input tokens and $14.95 per million output tokens.

Related