Multimodal · ByteDance

Doubao 1.5 Pro on MMMU: score, rank and what it means

Doubao 1.5 Pro scores 79.0 on MMMU, placing it #72 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
79.0
0–100 scale
Rank
#72
of 600
Percentile
88th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
7.9
points

Score distribution

The chart shows the top 10 models on MMMU, with Doubao 1.5 Pro 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, Doubao 1.5 Pro sits at #72 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 7.9 points. The median model in this index scores 70.0, which puts Doubao 1.5 Pro above the midpoint.

ByteDance models average 69.6 on this benchmark. Doubao 1.5 Pro is 9.4 points above that provider line, so it is a stronger result than the average ByteDance model.

Among multimodal models, the average is 74.3. Doubao 1.5 Pro is 4.7 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 79.0 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 $13.65 per million input tokens, Doubao 1.5 Pro 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
Grok 3 Reasoning xAI 200000 $16.07 82.9
Doubao 1.5 Pro Max ByteDance 400000 $14.93 81.2
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
Grok 3 xAI 128000 $15.84 82.8
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4

Other benchmarks for Doubao 1.5 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.8 107 82th
GPQA Diamond 73.1 196 67th
SWE-bench Verified 70.4 102 83th
HumanEval 82.6 167 72th
MATH-500 84.4 117 81th
AIME 2025 75.2 151 75th
LiveCodeBench 73.7 115 81th
IFEval 85.5 173 71th
TruthfulQA 81.6 137 77th
HellaSwag 88.9 113 81th
Arena Elo 1428.3 124 79th

FAQ

What score does Doubao 1.5 Pro get on MMMU?

Doubao 1.5 Pro scores 79.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Doubao 1.5 Pro rank on MMMU?

It ranks #72 of 600 models, in the 88th percentile. The leader is GPT-5.2 Max at 86.9.

Is Doubao 1.5 Pro 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 Doubao 1.5 Pro cost?

Doubao 1.5 Pro costs $13.65 per million input tokens and $48.98 per million output tokens.

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