Multimodal · NVIDIA

Nemotron Nano on MMMU: score, rank and what it means

Nemotron Nano scores 64.8 on MMMU, placing it #383 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
64.8
0–100 scale
Rank
#383
of 600
Percentile
36th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
22.1
points

Score distribution

The chart shows the top 10 models on MMMU, with Nemotron Nano 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 Nano sits at #383 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 22.1 points. The median model in this index scores 70.0, which puts Nemotron Nano below the midpoint.

NVIDIA models average 60.4 on this benchmark. Nemotron Nano is 4.4 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 65.1. Nemotron Nano is 0.3 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 64.8 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 $2.24 per million input tokens, Nemotron Nano 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-3.5 Instruct Microsoft 16384 $2.67 70.1
Command A Nano Cohere 8192 $5.90 66.3
Arctic Instruct Snowflake 65536 $2.83 70.6
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Nemotron Nano NVIDIA 8192 $2.24 66.6
Nemotron Nano Chat NVIDIA 32768 $2.21 66.2
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3

Other benchmarks for Nemotron Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.5 393 35th
GPQA Diamond 65.1 357 41th
SWE-bench Verified 54.1 392 35th
HumanEval 69.7 399 34th
MATH-500 68.4 395 34th
AIME 2025 60.2 387 36th
LiveCodeBench 58.3 385 36th
IFEval 74.2 402 33th
TruthfulQA 68.8 406 32th
HellaSwag 78.0 402 33th
Arena Elo 1334.4 382 36th

FAQ

What score does Nemotron Nano get on MMMU?

Nemotron Nano scores 64.8 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nemotron Nano rank on MMMU?

It ranks #383 of 600 models, in the 36th percentile. The leader is GPT-5.2 Max at 86.9.

Is Nemotron Nano good at MMMU?

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 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 Nano cost?

Nemotron Nano costs $2.24 per million input tokens and $8.55 per million output tokens.

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