Reasoning · Amazon

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

Nova Pro Pro scores 75.1 on GPQA Diamond, placing it #142 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
75.1
0–100 scale
Rank
#142
of 600
Percentile
76th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
11.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Nova Pro Pro 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 Pro sits at #142 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 11.9 points. The median model in this index scores 68.8, which puts Nova Pro Pro above the midpoint.

Amazon models average 68.4 on this benchmark. Nova Pro Pro is 6.7 points above that provider line, so it is a stronger result than the average Amazon model.

Among multimodal models, the average is 73.5. Nova Pro Pro is 1.6 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 75.1 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 $13.03 per million input tokens, Nova Pro Pro 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
Codestral Mistral AI 65536 $4.19 77.6
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
Nova Pro Pro Amazon 200000 $13.03 79.5
Reka Core Max Reka AI 128000 $13.41 79.3
Reka Core Turbo Reka AI 32768 $12.58 78.4

Other benchmarks for Nova Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.0 148 75th
SWE-bench Verified 68.2 143 76th
HumanEval 84.2 130 78th
MATH-500 83.7 135 78th
AIME 2025 79.0 101 83th
LiveCodeBench 72.5 137 77th
IFEval 87.6 114 81th
TruthfulQA 81.7 134 78th
HellaSwag 87.2 168 72th
MMMU 73.8 198 67th
Arena Elo 1406.0 192 68th

FAQ

What score does Nova Pro Pro get on GPQA Diamond?

Nova Pro Pro scores 75.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Nova Pro Pro rank on GPQA Diamond?

It ranks #142 of 600 models, in the 76th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Nova Pro Pro good at GPQA Diamond?

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 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 Pro cost?

Nova Pro Pro costs $13.03 per million input tokens and $59.36 per million output tokens.

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