Commonsense · NVIDIA

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

Nemotron 4 Base scores 85.1 on HellaSwag, placing it #241 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
85.1
0–100 scale
Rank
#241
of 600
Percentile
60th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
11.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Nemotron 4 Base 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 Base sits at #241 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 11.0 points. The median model in this index scores 83.6, which puts Nemotron 4 Base above the midpoint.

NVIDIA models average 76.3 on this benchmark. Nemotron 4 Base is 8.8 points above that provider line, so it is a stronger result than the average NVIDIA model.

Among open-weight models, the average is 80.2. Nemotron 4 Base is 4.9 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 85.1 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 $3.29 per million input tokens, Nemotron 4 Base 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
Yi-Large 01.AI 32768 $3.40 73.5
Llama 3 Anyscale Chat Anyscale 65536 $3.67 74.6
Llama 3.1 Cerebras Cerebras 128000 $4.01 76.0
Mixtral Groq Instruct Groq 16384 $3.25 72.5
Nemotron 4 Base NVIDIA 8192 $3.29 73.0
Firefunction Pro Fireworks AI 16384 $9.05 72.9
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6

Other benchmarks for Nemotron 4 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.5 292 51th
GPQA Diamond 68.9 299 50th
SWE-bench Verified 60.7 312 48th
HumanEval 76.8 311 48th
MATH-500 76.8 286 52th
AIME 2025 66.7 320 47th
LiveCodeBench 64.2 313 48th
IFEval 81.4 294 51th
TruthfulQA 75.4 323 46th
MMMU 70.9 276 54th
Arena Elo 1364.5 333 45th

FAQ

What score does Nemotron 4 Base get on HellaSwag?

Nemotron 4 Base scores 85.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Nemotron 4 Base rank on HellaSwag?

It ranks #241 of 600 models, in the 60th percentile. The leader is GPT-5.2 Max at 96.1.

Is Nemotron 4 Base 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 Nemotron 4 Base cost?

Nemotron 4 Base costs $3.29 per million input tokens and $14.95 per million output tokens.

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