Coding · Amazon

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

Nova Pro scores 83.8 on HumanEval, placing it #140 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.8
0–100 scale
Rank
#140
of 600
Percentile
77th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.0
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nova 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 sits at #140 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.0 points. The median model in this index scores 77.4, which puts Nova Pro above the midpoint.

Amazon models average 77.5 on this benchmark. Nova Pro is 6.3 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 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 83.8 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 $12.75 per million input tokens, Nova 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
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
GLM-4.6 Zhipu AI 128000 $5.10 80.2
GLM-4.6 Base Zhipu AI 128000 $4.53 78.5
Nova Pro Amazon 32768 $12.75 79.4
Command A Reasoning Cohere 400000 $13.74 80.2
ERNIE 4.0 Max Baidu 32768 $12.40 78.9

Other benchmarks for Nova Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.1 181 70th
GPQA Diamond 73.9 172 71th
SWE-bench Verified 65.6 203 66th
MATH-500 80.6 199 67th
AIME 2025 78.9 103 83th
LiveCodeBench 73.5 120 80th
IFEval 87.8 109 82th
TruthfulQA 83.3 102 83th
HellaSwag 87.6 158 74th
MMMU 77.8 100 83th
Arena Elo 1425.3 128 79th

FAQ

What score does Nova Pro get on HumanEval?

Nova Pro scores 83.8 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nova Pro rank on HumanEval?

It ranks #140 of 600 models, in the 77th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nova 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 cost?

Nova Pro costs $12.75 per million input tokens and $56.71 per million output tokens.

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