Commonsense · Amazon

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

Nova Pro Pro scores 87.2 on HellaSwag, placing it #168 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
87.2
0–100 scale
Rank
#168
of 600
Percentile
72th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.9
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Nova Pro 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 Pro sits at #168 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.9 points. The median model in this index scores 83.6, which puts Nova Pro Pro above the midpoint.

Amazon models average 83.7 on this benchmark. Nova Pro Pro is 3.5 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 Pro is 0.4 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 87.2 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 HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
Llama 3.1 Meta AI 200000 $4.16 76.3
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Nova Pro Pro Amazon 200000 $13.03 79.5
Seed-OSS Instruct ByteDance 128000 $3.79 76.0
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0

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
HumanEval 84.2 130 78th
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
MMMU 73.8 198 67th
Arena Elo 1406.0 192 68th

FAQ

What score does Nova Pro Pro get on HellaSwag?

Nova Pro Pro scores 87.2 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Nova Pro Pro rank on HellaSwag?

It ranks #168 of 600 models, in the 72nd percentile. The leader is GPT-5.2 Max at 96.1.

Is Nova Pro 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 Pro cost?

Nova Pro Pro costs $13.03 per million input tokens and $59.36 per million output tokens.

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