Coding · Amazon

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

Nova Pro Max scores 87.5 on HumanEval, placing it #79 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
87.5
0–100 scale
Rank
#79
of 600
Percentile
87th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
9.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nova Pro Max 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 Max sits at #79 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 9.3 points. The median model in this index scores 77.4, which puts Nova Pro Max above the midpoint.

Amazon models average 77.5 on this benchmark. Nova Pro Max is 10.0 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 Max is 5.3 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 87.5 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 $14.05 per million input tokens, Nova Pro Max 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
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Gemini 2.5 Pro Google DeepMind 200000 $15.20 81.6
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3
Command A Pro Cohere 200000 $14.28 81.3
Nova Pro Max Amazon 1000000 $14.05 81.2
Doubao 1.5 Pro Reasoning ByteDance 128000 $14.56 81.6
o3 Turbo OpenAI 200000 $16.63 83.4

Other benchmarks for Nova Pro Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.2 77 87th
GPQA Diamond 78.3 78 87th
SWE-bench Verified 67.4 158 74th
MATH-500 83.8 129 79th
AIME 2025 79.3 97 84th
LiveCodeBench 77.0 71 88th
IFEval 86.4 148 75th
TruthfulQA 83.4 98 84th
HellaSwag 88.9 115 81th
MMMU 77.2 112 81th
Arena Elo 1423.2 133 78th

FAQ

What score does Nova Pro Max get on HumanEval?

Nova Pro Max scores 87.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nova Pro Max rank on HumanEval?

It ranks #79 of 600 models, in the 87th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nova Pro Max 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 Max cost?

Nova Pro Max costs $14.05 per million input tokens and $71.59 per million output tokens.

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