Multimodal · Amazon

Nova Pro Reasoning on MMMU: score, rank and what it means

Nova Pro Reasoning scores 78.6 on MMMU, placing it #84 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
78.6
0–100 scale
Rank
#84
of 600
Percentile
86th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
8.3
points

Score distribution

The chart shows the top 10 models on MMMU, with Nova Pro Reasoning 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, Nova Pro Reasoning sits at #84 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 8.3 points. The median model in this index scores 70.0, which puts Nova Pro Reasoning above the midpoint.

Amazon models average 70.4 on this benchmark. Nova Pro Reasoning is 8.2 points above that provider line, so it is a stronger result than the average Amazon model.

Among multimodal models, the average is 74.3. Nova Pro Reasoning is 4.3 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 78.6 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 $13.48 per million input tokens, Nova Pro Reasoning is above 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
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
Gemini 3 Pro Google DeepMind 2000000 $18.24 86.1
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
Nova Pro Reasoning Amazon 200000 $13.48 79.4
GPT-4.1 Turbo OpenAI 1000000 $16.12 82.9
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5

Other benchmarks for Nova Pro Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 79.5 197 67th
GPQA Diamond 73.4 192 68th
SWE-bench Verified 70.1 109 82th
HumanEval 83.4 150 75th
MATH-500 84.2 122 80th
AIME 2025 74.1 179 70th
LiveCodeBench 74.2 104 83th
IFEval 87.4 124 79th
TruthfulQA 79.9 183 70th
HellaSwag 89.0 112 81th
Arena Elo 1415.8 165 73th

FAQ

What score does Nova Pro Reasoning get on MMMU?

Nova Pro Reasoning scores 78.6 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nova Pro Reasoning rank on MMMU?

It ranks #84 of 600 models, in the 86th percentile. The leader is GPT-5.2 Max at 86.9.

Is Nova Pro Reasoning 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 Nova Pro Reasoning cost?

Nova Pro Reasoning costs $13.48 per million input tokens and $65.09 per million output tokens.

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