Mathematics · ByteDance

Doubao 1.5 Pro on MATH-500: score, rank and what it means

Doubao 1.5 Pro scores 84.4 on MATH-500, placing it #117 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
84.4
0–100 scale
Rank
#117
of 600
Percentile
81th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
12.3
points

Score distribution

The chart shows the top 10 models on MATH-500, with Doubao 1.5 Pro highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

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-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Doubao 1.5 Pro sits at #117 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 12.3 points. The median model in this index scores 76.0, which puts Doubao 1.5 Pro above the midpoint.

ByteDance models average 74.2 on this benchmark. Doubao 1.5 Pro is 10.2 points above that provider line, so it is a stronger result than the average ByteDance model.

Among multimodal models, the average is 81.3. Doubao 1.5 Pro is 3.1 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 84.4 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 MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Doubao 1.5 Pro ByteDance 200000 $13.65 79.7
o3 Vision OpenAI 1000000 $15.24 81.8
Claude Opus 4.5 Mini Anthropic 65536 $12.72 79.0

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
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
MMMU 79.0 72 88th
Arena Elo 1428.3 124 79th

FAQ

What score does Doubao 1.5 Pro get on MATH-500?

Doubao 1.5 Pro scores 84.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Doubao 1.5 Pro rank on MATH-500?

It ranks #117 of 600 models, in the 81st percentile. The leader is GPT-5.2 Max at 96.7.

Is Doubao 1.5 Pro good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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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