Knowledge · Amazon

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

Nova Pro Mini scores 72.5 on MMLU-Pro, placing it #376 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
72.5
0–100 scale
Rank
#376
of 600
Percentile
37th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
19.1
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Nova Pro Mini highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, Nova Pro Mini sits at #376 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 19.1 points. The median model in this index scores 76.1, which puts Nova Pro Mini below the midpoint.

Amazon models average 76.4 on this benchmark. Nova Pro Mini is 3.9 points below that provider line, so it is a weaker result than the average Amazon model.

Among mid-range models, the average is 71.5. Nova Pro Mini is 1.0 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 72.5 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 MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Reka Core Mini Reka AI 8192 $7.48 70.1
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Embed 4 Max Cohere 8192 $5.68 66.1
Nova Pro Mini Amazon 16384 $7.74 70.6
Arctic Snowflake 8192 $2.72 68.8
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2

Other benchmarks for Nova Pro Mini

BenchmarkScoreRankPercentileRelative
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
MMMU 67.9 345 43th
Arena Elo 1343.1 376 37th

FAQ

What score does Nova Pro Mini get on MMLU-Pro?

Nova Pro Mini scores 72.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Nova Pro Mini rank on MMLU-Pro?

It ranks #376 of 600 models, in the 37th percentile. The leader is GPT-5.2 Pro at 91.6.

Is Nova Pro Mini good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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.

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