Reasoning · Amazon

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

Nova Pro Mini scores 64.6 on GPQA Diamond, placing it #368 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
64.6
0–100 scale
Rank
#368
of 600
Percentile
39th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
22.4
points

Score distribution

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

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Nova Pro Mini sits at #368 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 22.4 points. The median model in this index scores 68.8, which puts Nova Pro Mini below the midpoint.

Amazon models average 68.4 on this benchmark. Nova Pro Mini is 3.8 points below that provider line, so it is a weaker result than the average Amazon model.

Among mid-range models, the average is 62.9. Nova Pro Mini is 1.7 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 64.6 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 $7.74 per million input tokens, Nova Pro Mini is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
o3 Nano OpenAI 32768 $7.78 70.6
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Arctic Instruct Snowflake 65536 $2.83 70.6
Nova Pro Mini Amazon 16384 $7.74 70.6
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
ERNIE 4.5 Mini Baidu 32768 $8.62 71.0

Other benchmarks for Nova Pro Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 376 37th
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 GPQA Diamond?

Nova Pro Mini scores 64.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Nova Pro Mini rank on GPQA Diamond?

It ranks #368 of 600 models, in the 39th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Nova Pro Mini good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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