Commonsense · Amazon

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

Nova Pro scores 87.6 on HellaSwag, placing it #158 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
87.6
0–100 scale
Rank
#158
of 600
Percentile
74th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.5
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Nova Pro sits at #158 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.5 points. The median model in this index scores 83.6, which puts Nova Pro above the midpoint.

Amazon models average 83.7 on this benchmark. Nova Pro is 3.9 points above that provider line, so it is a stronger result than the average Amazon model.

Among multimodal models, the average is 86.8. Nova Pro is 0.8 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 87.6 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1
o4 Mini OpenAI 200000 $11.92 77.7
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
Command A Reasoning Cohere 400000 $13.74 80.2
Nova Pro Amazon 32768 $12.75 79.4
Llama 4 Scout Chat Meta AI 32768 $4.66 78.0
Yi-Lightning 01.AI 32768 $4.22 77.2

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
HumanEval 83.8 140 77th
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
MMMU 77.8 100 83th
Arena Elo 1425.3 128 79th

FAQ

What score does Nova Pro get on HellaSwag?

Nova Pro scores 87.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Nova Pro rank on HellaSwag?

It ranks #158 of 600 models, in the 74th percentile. The leader is GPT-5.2 Max at 96.1.

Is Nova Pro good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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