Knowledge · Baidu

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

ERNIE 4.5 Pro scores 80.3 on MMLU-Pro, placing it #175 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
80.3
0–100 scale
Rank
#175
of 600
Percentile
71th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
11.3
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with ERNIE 4.5 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 4.5 Pro sits at #175 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 11.3 points. The median model in this index scores 76.1, which puts ERNIE 4.5 Pro above the midpoint.

Baidu models average 78.3 on this benchmark. ERNIE 4.5 Pro is 2.0 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 Pro is 0.3 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 80.3 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 $13.89 per million input tokens, ERNIE 4.5 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
Reka Core Max Reka AI 128000 $13.41 79.3
Sonar Turbo Perplexity 65536 $10.71 75.7
Command A Cohere 200000 $13.30 79.6
Doubao 1.5 Pro Turbo ByteDance 128000 $13.81 79.4
ERNIE 4.5 Pro Baidu 1000000 $13.89 80.5
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
Qwen3 Instruct Alibaba Cloud 1000000 $5.06 79.8

Other benchmarks for ERNIE 4.5 Pro

BenchmarkScoreRankPercentileRelative
GPQA Diamond 74.7 149 75th
SWE-bench Verified 66.5 178 70th
HumanEval 86.9 90 85th
MATH-500 87.2 75 88th
AIME 2025 76.3 136 77th
LiveCodeBench 76.4 77 87th
IFEval 86.0 156 74th
TruthfulQA 83.1 105 83th
HellaSwag 90.2 80 87th
MMMU 78.4 86 86th
Arena Elo 1414.3 171 72th

FAQ

What score does ERNIE 4.5 Pro get on MMLU-Pro?

ERNIE 4.5 Pro scores 80.3 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does ERNIE 4.5 Pro rank on MMLU-Pro?

It ranks #175 of 600 models, in the 71st percentile. The leader is GPT-5.2 Pro at 91.6.

Is ERNIE 4.5 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 4.5 Pro cost?

ERNIE 4.5 Pro costs $13.89 per million input tokens and $65.19 per million output tokens.

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