Multimodal · NVIDIA

Nemotron 4 Chat on MMMU: score, rank and what it means

Nemotron 4 Chat scores 71.1 on MMMU, placing it #271 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
71.1
0–100 scale
Rank
#271
of 600
Percentile
55th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
15.8
points

Score distribution

The chart shows the top 10 models on MMMU, with Nemotron 4 Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, Nemotron 4 Chat sits at #271 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 15.8 points. The median model in this index scores 70.0, which puts Nemotron 4 Chat above the midpoint.

NVIDIA models average 60.4 on this benchmark. Nemotron 4 Chat is 10.7 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among multimodal models, the average is 74.3. Nemotron 4 Chat is 3.2 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 71.1 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 MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Phi-4 Microsoft 200000 $3.96 75.4
Sonar Turbo Perplexity 65536 $10.71 75.7
Yi-Large Chat 01.AI 65536 $3.49 73.5
Fusion Turbo OpenRouter 8192 $8.55 71.7
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Fusion Reasoning OpenRouter 65536 $8.59 72.2
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6

Other benchmarks for Nemotron 4 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.2 271 55th
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
Arena Elo 1398.2 212 65th

FAQ

What score does Nemotron 4 Chat get on MMMU?

Nemotron 4 Chat scores 71.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nemotron 4 Chat rank on MMMU?

It ranks #271 of 600 models, in the 55th percentile. The leader is GPT-5.2 Max at 86.9.

Is Nemotron 4 Chat good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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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