Multimodal · Amazon

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

Nova Pro Mini scores 67.9 on MMMU, placing it #345 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
67.9
0–100 scale
Rank
#345
of 600
Percentile
43th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
19.0
points

Score distribution

The chart shows the top 10 models on MMMU, with Nova Pro Mini 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 Mini sits at #345 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 19.0 points. The median model in this index scores 70.0, which puts Nova Pro Mini below the midpoint.

Amazon models average 70.4 on this benchmark. Nova Pro Mini is 2.5 points below that provider line, so it is a weaker result than the average Amazon model.

Among mid-range models, the average is 65.0. Nova Pro Mini is 2.9 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 67.9 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 $7.74 per million input tokens, Nova Pro Mini 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
Auto Reasoning OpenRouter 65536 $8.39 71.5
Llama 3.1 Cerebras Base Cerebras 65536 $3.36 72.7
Mixtral Groq Chat Groq 8192 $3.09 72.0
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Nova Pro Mini Amazon 16384 $7.74 70.6
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Yi-Large 01.AI 32768 $3.40 73.5

Other benchmarks for Nova Pro Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 376 37th
GPQA Diamond 64.6 368 39th
SWE-bench Verified 59.0 343 43th
HumanEval 75.2 341 43th
MATH-500 75.8 307 49th
AIME 2025 64.4 351 42th
LiveCodeBench 59.3 374 38th
IFEval 79.3 345 43th
TruthfulQA 75.8 313 48th
HellaSwag 83.1 318 47th
Arena Elo 1343.1 376 37th

FAQ

What score does Nova Pro Mini get on MMMU?

Nova Pro Mini scores 67.9 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Nova Pro Mini rank on MMMU?

It ranks #345 of 600 models, in the 43rd percentile. The leader is GPT-5.2 Max at 86.9.

Is Nova Pro Mini 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 Nova Pro Mini cost?

Nova Pro Mini costs $7.74 per million input tokens and $31.20 per million output tokens.

Related