Knowledge · Baidu

ERNIE 4.0 Nano on MMLU-Pro: score, rank and what it means

ERNIE 4.0 Nano scores 65.6 on MMLU-Pro, placing it #442 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
65.6
0–100 scale
Rank
#442
of 600
Percentile
26th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
26.0
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with ERNIE 4.0 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 91.6
GPT-5.1 Max 91.3
Claude Opus 4.5 Pro 91.2
Claude Opus 4.5 Reasoning 90.7
Gemini 3 Pro Reasoning 90.1
GPT-5.1 Reasoning 90.0
GPT-5.2 89.9
Claude Opus 4.5 Max 89.5
GPT-5.2 Vision 89.5
Gemini 3 Pro Max 89.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
5 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
6 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
7 GPT-5.2 OpenAI 2000000 $19.71 88.0
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On MMLU-Pro, ERNIE 4.0 Nano sits at #442 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 26.0 points. The median model in this index scores 76.1, which puts ERNIE 4.0 Nano below the midpoint.

Baidu models average 78.3 on this benchmark. ERNIE 4.0 Nano is 12.7 points below that provider line, so it is a weaker result than the average Baidu model.

Among mid-range models, the average is 71.5. ERNIE 4.0 Nano is 5.9 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 65.6 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 MMLU-Pro. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
Sonar Nano Perplexity 4096 $4.37 61.9
Zephyr Instruct Hugging Face 4096 $1.66 62.4
Codestral 8B Mistral AI 4096 $1.18 59.0
ERNIE 4.0 Nano Baidu 32768 $4.68 62.1
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
Mistral Large 3 7B Mistral AI 32768 $1.44 61.1

Other benchmarks for ERNIE 4.0 Nano

BenchmarkScoreRankPercentileRelative
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
HellaSwag 74.8 444 26th
MMMU 61.6 414 31th
Arena Elo 1288.3 432 28th

FAQ

What score does ERNIE 4.0 Nano get on MMLU-Pro?

ERNIE 4.0 Nano scores 65.6 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does ERNIE 4.0 Nano rank on MMLU-Pro?

It ranks #442 of 600 models, in the 26th percentile. The leader is GPT-5.2 Pro at 91.6.

Is ERNIE 4.0 Nano good at MMLU-Pro?

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 MMLU-Pro score calculated?

MMLU-Pro is a knowledge 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.

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