Coding · Amazon

Nova Pro Pro on HumanEval: score, rank and what it means

Nova Pro Pro scores 84.2 on HumanEval, placing it #130 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
84.2
0–100 scale
Rank
#130
of 600
Percentile
78th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
12.6
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Nova Pro Pro sits at #130 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 12.6 points. The median model in this index scores 77.4, which puts Nova Pro Pro above the midpoint.

Amazon models average 77.5 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 82.2. Nova Pro Pro is 2.0 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 84.2 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ Alibaba Cloud 128000 $4.57 78.6
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Nova Pro Pro Amazon 200000 $13.03 79.5
Doubao 1.5 Pro Max ByteDance 400000 $14.93 81.2
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2

Other benchmarks for Nova Pro Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.0 148 75th
GPQA Diamond 75.1 142 76th
SWE-bench Verified 68.2 143 76th
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 HumanEval?

Nova Pro Pro scores 84.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nova Pro Pro rank on HumanEval?

It ranks #130 of 600 models, in the 78th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nova Pro Pro good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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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