Knowledge · Baidu

ERNIE 4.5 on MMLU-Pro: score, rank and what it means

ERNIE 4.5 scores 83.7 on MMLU-Pro, placing it #86 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
83.7
0–100 scale
Rank
#86
of 600
Percentile
86th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
7.9
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with ERNIE 4.5 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 4.5 sits at #86 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 7.9 points. The median model in this index scores 76.1, which puts ERNIE 4.5 above the midpoint.

Baidu models average 78.3 on this benchmark. ERNIE 4.5 is 5.4 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 4.5 is 3.7 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 83.7 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 $13.44 per million input tokens, ERNIE 4.5 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
GPT-4.1 Vision OpenAI 1000000 $14.88 82.0
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
DeepSeek-R1 DeepSeek 128000 $5.83 82.8
ERNIE 4.5 Baidu 65536 $13.44 80.0
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Grok 3 Turbo xAI 128000 $15.97 83.1

Other benchmarks for ERNIE 4.5

BenchmarkScoreRankPercentileRelative
GPQA Diamond 77.2 102 83th
SWE-bench Verified 68.2 140 77th
HumanEval 83.9 134 78th
MATH-500 81.3 181 70th
AIME 2025 75.9 142 76th
LiveCodeBench 72.9 131 78th
IFEval 86.4 146 76th
TruthfulQA 83.0 106 82th
HellaSwag 89.2 108 82th
MMMU 78.0 97 84th
Arena Elo 1414.8 168 72th

FAQ

What score does ERNIE 4.5 get on MMLU-Pro?

ERNIE 4.5 scores 83.7 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does ERNIE 4.5 rank on MMLU-Pro?

It ranks #86 of 600 models, in the 86th percentile. The leader is GPT-5.2 Pro at 91.6.

Is ERNIE 4.5 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 4.5 cost?

ERNIE 4.5 costs $13.44 per million input tokens and $56.59 per million output tokens.

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