Knowledge · Baidu

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

ERNIE 4.0 Pro scores 81.7 on MMLU-Pro, placing it #129 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
81.7
0–100 scale
Rank
#129
of 600
Percentile
79th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
9.9
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with ERNIE 4.0 Pro 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 Pro sits at #129 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 9.9 points. The median model in this index scores 76.1, which puts ERNIE 4.0 Pro above the midpoint.

Baidu models average 78.3 on this benchmark. ERNIE 4.0 Pro is 3.4 points above that provider line, so it is a stronger result than the average Baidu model.

Among multimodal models, the average is 80.0. ERNIE 4.0 Pro is 1.7 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 81.7 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 $12.58 per million input tokens, ERNIE 4.0 Pro 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
Gemini 3 Flash Vision Google DeepMind 400000 $15.06 81.9
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
MiniMax-M2 MiniMax 200000 $5.19 80.6
Nova Pro Turbo Amazon 128000 $13.18 78.4
ERNIE 4.0 Pro Baidu 200000 $12.58 77.5
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8

Other benchmarks for ERNIE 4.0 Pro

BenchmarkScoreRankPercentileRelative
GPQA Diamond 71.7 225 63th
SWE-bench Verified 65.7 199 67th
HumanEval 81.7 191 68th
MATH-500 82.1 163 73th
AIME 2025 75.6 147 76th
LiveCodeBench 68.8 212 65th
IFEval 86.0 155 74th
TruthfulQA 78.5 237 61th
HellaSwag 86.5 191 68th
MMMU 74.6 167 72th
Arena Elo 1418.3 156 74th

FAQ

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

ERNIE 4.0 Pro scores 81.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does ERNIE 4.0 Pro rank on MMLU-Pro?

It ranks #129 of 600 models, in the 79th percentile. The leader is GPT-5.2 Pro at 91.6.

Is ERNIE 4.0 Pro good at MMLU-Pro?

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 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 Pro cost?

ERNIE 4.0 Pro costs $12.58 per million input tokens and $59.04 per million output tokens.

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