Multimodal · ByteDance

Seed-OSS Chat on MMMU: score, rank and what it means

Seed-OSS Chat scores 72.9 on MMMU, placing it #225 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
72.9
0–100 scale
Rank
#225
of 600
Percentile
63th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
14.0
points

Score distribution

The chart shows the top 10 models on MMMU, with Seed-OSS Chat 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, Seed-OSS Chat sits at #225 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 14.0 points. The median model in this index scores 70.0, which puts Seed-OSS Chat above the midpoint.

ByteDance models average 69.6 on this benchmark. Seed-OSS Chat is 3.3 points above that provider line, so it is a stronger result than the average ByteDance model.

Among multimodal models, the average is 74.3. Seed-OSS Chat is 1.4 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 72.9 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 $3.49 per million input tokens, Seed-OSS Chat is below 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
Llama 4 Scout Instruct Meta AI 32768 $4.59 79.1
MiniMax-Text Instruct MiniMax 128000 $4.59 77.7
Llama 3.3 Groq Chat Groq 32768 $4.06 76.8
Mistral Small 3 Instruct Mistral AI 32768 $3.97 75.1
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Mistral Small 3 Mistral AI 32768 $3.90 75.3
Hunyuan-Turbo Tencent 128000 $10.55 75.8

Other benchmarks for Seed-OSS Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 76.2 299 50th
GPQA Diamond 69.7 277 54th
SWE-bench Verified 63.9 236 61th
HumanEval 79.9 237 61th
MATH-500 75.5 314 48th
AIME 2025 71.0 236 61th
LiveCodeBench 63.8 325 46th
IFEval 83.6 227 62th
TruthfulQA 76.5 296 51th
HellaSwag 85.7 226 62th
Arena Elo 1382.4 269 55th

FAQ

What score does Seed-OSS Chat get on MMMU?

Seed-OSS Chat scores 72.9 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Seed-OSS Chat rank on MMMU?

It ranks #225 of 600 models, in the 63rd percentile. The leader is GPT-5.2 Max at 86.9.

Is Seed-OSS Chat 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 Seed-OSS Chat cost?

Seed-OSS Chat costs $3.49 per million input tokens and $14.42 per million output tokens.

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