Commonsense · NVIDIA

Nemotron 4 8B on HellaSwag: score, rank and what it means

Nemotron 4 8B scores 71.7 on HellaSwag, placing it #506 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
71.7
0–100 scale
Rank
#506
of 600
Percentile
16th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
24.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Nemotron 4 8B 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, Nemotron 4 8B sits at #506 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 24.4 points. The median model in this index scores 83.6, which puts Nemotron 4 8B below the midpoint.

NVIDIA models average 76.3 on this benchmark. Nemotron 4 8B is 4.6 points below that provider line, so it is a weaker result than the average NVIDIA model.

Among small open-weight models, the average is 70.2. Nemotron 4 8B is 1.5 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 71.7 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 $1.06 per million input tokens, Nemotron 4 8B is below 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
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
Pythia Base EleutherAI 16384 $0.99 55.9
Mixtral Groq 7B Groq 4096 $0.70 53.4
Hunyuan-Large 7B Tencent 32768 $1.08 57.7
Nemotron 4 8B NVIDIA 4096 $1.06 57.9
Mixtral Groq 8B Groq 32768 $0.77 54.8
Yi-Lightning 7B 01.AI 32768 $1.00 55.9

Other benchmarks for Nemotron 4 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.8 475 21th
GPQA Diamond 50.8 514 14th
SWE-bench Verified 40.9 512 15th
HumanEval 61.2 484 19th
MATH-500 60.0 465 23th
AIME 2025 51.2 449 25th
LiveCodeBench 46.9 477 21th
IFEval 68.8 480 20th
TruthfulQA 65.5 454 24th
MMMU 55.6 492 18th
Arena Elo 1247.2 495 18th

FAQ

What score does Nemotron 4 8B get on HellaSwag?

Nemotron 4 8B scores 71.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Nemotron 4 8B rank on HellaSwag?

It ranks #506 of 600 models, in the 16th percentile. The leader is GPT-5.2 Max at 96.1.

Is Nemotron 4 8B 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 Nemotron 4 8B cost?

Nemotron 4 8B costs $1.06 per million input tokens and $5.67 per million output tokens.

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