Coding · Amazon

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

Nova Pro Turbo scores 82.5 on HumanEval, placing it #176 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.5
0–100 scale
Rank
#176
of 600
Percentile
71th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Nova Pro Turbo 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 Turbo sits at #176 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.3 points. The median model in this index scores 77.4, which puts Nova Pro Turbo above the midpoint.

Amazon models average 77.5 on this benchmark. Nova Pro Turbo is 5.0 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 Turbo is 0.3 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 82.5 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 $13.18 per million input tokens, Nova Pro Turbo 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
Command R+ Chat Cohere 32768 $4.02 76.0
DeepSeek-Coder Chat DeepSeek 200000 $4.20 77.3
ERNIE 4.0 Baidu 32768 $11.37 76.7
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Nova Pro Turbo Amazon 128000 $13.18 78.4
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Codestral Chat Mistral AI 32768 $3.89 75.8

Other benchmarks for Nova Pro Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 128 79th
GPQA Diamond 72.4 212 65th
SWE-bench Verified 66.2 190 68th
MATH-500 81.1 190 68th
AIME 2025 75.5 148 75th
LiveCodeBench 70.9 173 71th
IFEval 88.1 100 83th
TruthfulQA 83.5 94 84th
HellaSwag 86.1 215 64th
MMMU 74.4 175 71th
Arena Elo 1433.2 113 81th

FAQ

What score does Nova Pro Turbo get on HumanEval?

Nova Pro Turbo scores 82.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Nova Pro Turbo rank on HumanEval?

It ranks #176 of 600 models, in the 71st percentile. The leader is GPT-5.2 Pro at 96.8.

Is Nova Pro Turbo 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 Turbo cost?

Nova Pro Turbo costs $13.18 per million input tokens and $51.70 per million output tokens.

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