Multimodal · Baidu

ERNIE 4.5 Max on MMMU: score, rank and what it means

ERNIE 4.5 Max scores 78.1 on MMMU, placing it #95 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
78.1
0–100 scale
Rank
#95
of 600
Percentile
84th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
8.8
points

Score distribution

The chart shows the top 10 models on MMMU, with ERNIE 4.5 Max highlighted. Longer bars mean higher scores.

GPT-5.2 Max 86.9
GPT-5.1 Reasoning 86.2
GPT-5.2 85.3
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.1 Max 85.1
Grok 4 Pro 84.9
Claude Opus 4.5 Reasoning 84.6
Claude Sonnet 4.5 Pro 84.5
GPT-5.2 Pro 84.4
GPT-5.2 Vision 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.2 OpenAI 2000000 $19.71 88.0
4 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
5 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
6 Grok 4 Pro xAI 1000000 $19.00 85.4
7 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
8 Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
9 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
10 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

What this score means

On MMMU, ERNIE 4.5 Max sits at #95 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 8.8 points. The median model in this index scores 70.0, which puts ERNIE 4.5 Max above the midpoint.

Baidu models average 72.2 on this benchmark. ERNIE 4.5 Max is 5.9 points above that provider line, so it is a stronger result than the average Baidu model.

Among multimodal models, the average is 74.3. ERNIE 4.5 Max is 3.8 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 78.1 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 $14.41 per million input tokens, ERNIE 4.5 Max is above the median input price of $4.00 across the 600 models scored on MMMU. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 2.5 Pro Vision Google DeepMind 200000 $14.91 82.0
Gemini 3 Flash Google DeepMind 128000 $15.67 83.6
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
Doubao 1.5 Pro Reasoning ByteDance 128000 $14.56 81.6
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Gemini 2.5 Pro Pro Google DeepMind 400000 $17.16 83.6
ERNIE 4.5 Baidu 65536 $13.44 80.0

Other benchmarks for ERNIE 4.5 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.8 153 75th
GPQA Diamond 76.4 111 82th
SWE-bench Verified 68.9 131 78th
HumanEval 87.7 75 88th
MATH-500 84.2 121 80th
AIME 2025 79.5 95 84th
LiveCodeBench 73.0 126 79th
IFEval 87.1 129 79th
TruthfulQA 83.6 90 85th
HellaSwag 87.7 152 75th
Arena Elo 1423.7 131 78th

FAQ

What score does ERNIE 4.5 Max get on MMMU?

ERNIE 4.5 Max scores 78.1 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does ERNIE 4.5 Max rank on MMMU?

It ranks #95 of 600 models, in the 84th percentile. The leader is GPT-5.2 Max at 86.9.

Is ERNIE 4.5 Max good at MMMU?

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 MMMU score calculated?

MMMU is a multimodal 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 Max cost?

ERNIE 4.5 Max costs $14.41 per million input tokens and $53.71 per million output tokens.

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