Commonsense · Amazon

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

Nova Pro Nano scores 78.8 on HellaSwag, placing it #394 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
78.8
0–100 scale
Rank
#394
of 600
Percentile
34th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
17.3
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Nova Pro Nano 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 Nano sits at #394 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 17.3 points. The median model in this index scores 83.6, which puts Nova Pro Nano below the midpoint.

Amazon models average 83.7 on this benchmark. Nova Pro Nano is 4.9 points below that provider line, so it is a weaker result than the average Amazon model.

Among mid-range models, the average is 79.8. Nova Pro Nano is 1.0 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 78.8 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 $5.44 per million input tokens, Nova Pro Nano 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
Reka Core Nano Reka AI 16384 $5.45 65.1
DBRX Base Databricks 32768 $2.63 69.1
Molmo Allen Institute for AI 32768 $2.49 68.5
Nova Lite Mini Amazon 16384 $5.43 65.0
Nova Pro Nano Amazon 8192 $5.44 65.4
GLM-4.6 8B Zhipu AI 8192 $1.69 63.1
StableLM 2 Chat Stability AI 8192 $1.79 64.6

Other benchmarks for Nova Pro Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.4 426 29th
GPQA Diamond 60.6 399 34th
SWE-bench Verified 53.2 396 34th
HumanEval 68.7 410 32th
MATH-500 65.4 417 31th
AIME 2025 57.8 402 33th
LiveCodeBench 58.4 383 36th
IFEval 74.0 405 33th
TruthfulQA 71.1 392 35th
MMMU 63.7 392 35th
Arena Elo 1301.3 418 30th

FAQ

What score does Nova Pro Nano get on HellaSwag?

Nova Pro Nano scores 78.8 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Nova Pro Nano rank on HellaSwag?

It ranks #394 of 600 models, in the 34th percentile. The leader is GPT-5.2 Max at 96.1.

Is Nova Pro Nano good at HellaSwag?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Nova Pro Nano costs $5.44 per million input tokens and $20.47 per million output tokens.

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