Knowledge · Baidu

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

ERNIE 4.0 Mini scores 72.5 on MMLU-Pro, placing it #374 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
72.5
0–100 scale
Rank
#374
of 600
Percentile
38th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
19.1
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with ERNIE 4.0 Mini 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 Mini sits at #374 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 19.1 points. The median model in this index scores 76.1, which puts ERNIE 4.0 Mini below the midpoint.

Baidu models average 78.3 on this benchmark. ERNIE 4.0 Mini is 5.8 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 Mini is 1.0 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 72.5 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 $7.11 per million input tokens, ERNIE 4.0 Mini 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
Firesearch Pro Fireworks AI 32768 $7.67 70.4
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
Reka Core Mini Reka AI 8192 $7.48 70.1
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
ERNIE 4.0 Mini Baidu 32768 $7.11 68.8
Embed 4 Max Cohere 8192 $5.68 66.1
Nova Pro Mini Amazon 16384 $7.74 70.6

Other benchmarks for ERNIE 4.0 Mini

BenchmarkScoreRankPercentileRelative
GPQA Diamond 62.3 388 35th
SWE-bench Verified 56.0 377 37th
HumanEval 75.3 337 44th
MATH-500 71.6 371 38th
AIME 2025 61.0 381 37th
LiveCodeBench 61.7 352 41th
IFEval 76.5 382 36th
TruthfulQA 71.5 389 35th
HellaSwag 82.8 325 46th
MMMU 66.0 372 38th
Arena Elo 1330.5 388 35th

FAQ

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

ERNIE 4.0 Mini scores 72.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does ERNIE 4.0 Mini rank on MMLU-Pro?

It ranks #374 of 600 models, in the 38th percentile. The leader is GPT-5.2 Pro at 91.6.

Is ERNIE 4.0 Mini 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 Mini cost?

ERNIE 4.0 Mini costs $7.11 per million input tokens and $27.17 per million output tokens.

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