Commonsense · Baidu

ERNIE 4.0 Nano on HellaSwag: score, rank and what it means

ERNIE 4.0 Nano scores 74.8 on HellaSwag, placing it #444 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
74.8
0–100 scale
Rank
#444
of 600
Percentile
26th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.3
points

Score distribution

The chart shows the top 10 models on HellaSwag, with ERNIE 4.0 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, ERNIE 4.0 Nano sits at #444 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.3 points. The median model in this index scores 83.6, which puts ERNIE 4.0 Nano below the midpoint.

Baidu models average 85.3 on this benchmark. ERNIE 4.0 Nano is 10.5 points below that provider line, so it is a weaker result than the average Baidu model.

Among mid-range models, the average is 79.8. ERNIE 4.0 Nano is 5.0 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 74.8 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 $4.68 per million input tokens, ERNIE 4.0 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
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
Sonar Nano Perplexity 4096 $4.37 61.9
GPT-NeoX EleutherAI 16384 $1.57 61.7
Hunyuan-Large 8B Tencent 4096 $1.29 58.7
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
Magistral 8B Mistral AI 4096 $1.33 60.0
Auto Mini OpenRouter 4096 $4.24 61.6

Other benchmarks for ERNIE 4.0 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 65.6 442 26th
GPQA Diamond 57.1 439 27th
SWE-bench Verified 47.0 446 26th
HumanEval 67.0 422 30th
MATH-500 63.4 431 28th
AIME 2025 53.8 426 29th
LiveCodeBench 53.3 415 31th
IFEval 71.2 438 27th
TruthfulQA 68.3 410 32th
MMMU 61.6 414 31th
Arena Elo 1288.3 432 28th

FAQ

What score does ERNIE 4.0 Nano get on HellaSwag?

ERNIE 4.0 Nano scores 74.8 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does ERNIE 4.0 Nano rank on HellaSwag?

It ranks #444 of 600 models, in the 26th percentile. The leader is GPT-5.2 Max at 96.1.

Is ERNIE 4.0 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 ERNIE 4.0 Nano cost?

ERNIE 4.0 Nano costs $4.68 per million input tokens and $22.77 per million output tokens.

Related