Knowledge · NVIDIA

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

Nemotron 4 Chat scores 77.2 on MMLU-Pro, placing it #271 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
77.2
0–100 scale
Rank
#271
of 600
Percentile
55th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
14.4
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Nemotron 4 Chat 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 Chat sits at #271 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 14.4 points. The median model in this index scores 76.1, which puts Nemotron 4 Chat above the midpoint.

NVIDIA models average 67.0 on this benchmark. Nemotron 4 Chat is 10.2 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among multimodal models, the average is 80.0. Nemotron 4 Chat is 2.8 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 77.2 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 $3.99 per million input tokens, Nemotron 4 Chat 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
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Mixtral Mistral AI 65536 $3.48 73.7
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Nova Lite Max Amazon 200000 $9.79 73.4
MiniMax-Text Base MiniMax 128000 $3.66 74.9

Other benchmarks for Nemotron 4 Chat

BenchmarkScoreRankPercentileRelative
GPQA Diamond 69.4 283 53th
SWE-bench Verified 62.3 271 55th
HumanEval 78.6 277 54th
MATH-500 82.2 160 73th
AIME 2025 73.0 203 66th
LiveCodeBench 65.9 276 54th
IFEval 81.8 281 53th
TruthfulQA 79.2 210 65th
HellaSwag 84.4 268 55th
MMMU 71.1 271 55th
Arena Elo 1398.2 212 65th

FAQ

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

Nemotron 4 Chat scores 77.2 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Nemotron 4 Chat rank on MMLU-Pro?

It ranks #271 of 600 models, in the 55th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Nemotron 4 Chat 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 Chat cost?

Nemotron 4 Chat costs $3.99 per million input tokens and $16.11 per million output tokens.

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