Multimodal · Amazon

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

Nova Pro Turbo scores 74.4 on MMMU, placing it #175 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
74.4
0–100 scale
Rank
#175
of 600
Percentile
71th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
12.5
points

Score distribution

The chart shows the top 10 models on MMMU, with Nova Pro Turbo 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 Turbo sits at #175 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 12.5 points. The median model in this index scores 70.0, which puts Nova Pro Turbo above the midpoint.

Amazon models average 70.4 on this benchmark. Nova Pro Turbo is 4.0 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 Turbo is 0.1 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 74.4 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 $13.18 per million input tokens, Nova Pro Turbo 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
ERNIE 4.5 Reasoning Baidu 1000000 $14.36 79.8
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Hunyuan-Turbo Max Tencent 128000 $12.40 78.3
Llama 3 Replicate Instruct Replicate 128000 $3.71 75.1
Nova Pro Turbo Amazon 128000 $13.18 78.4
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Llama 3.1 Chat Meta AI 32768 $3.82 75.3

Other benchmarks for Nova Pro Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 128 79th
GPQA Diamond 72.4 212 65th
SWE-bench Verified 66.2 190 68th
HumanEval 82.5 176 71th
MATH-500 81.1 190 68th
AIME 2025 75.5 148 75th
LiveCodeBench 70.9 173 71th
IFEval 88.1 100 83th
TruthfulQA 83.5 94 84th
HellaSwag 86.1 215 64th
Arena Elo 1433.2 113 81th

FAQ

What score does Nova Pro Turbo get on MMMU?

Nova Pro Turbo scores 74.4 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nova Pro Turbo rank on MMMU?

It ranks #175 of 600 models, in the 71st percentile. The leader is GPT-5.2 Max at 86.9.

Is Nova Pro Turbo 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 Turbo cost?

Nova Pro Turbo costs $13.18 per million input tokens and $51.70 per million output tokens.

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