Knowledge · ByteDance

Seed-OSS 8B on MMLU-Pro: score, rank and what it means

Seed-OSS 8B scores 64.3 on MMLU-Pro, placing it #464 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.

Score
64.3
0–100 scale
Rank
#464
of 600
Percentile
23th
within the index
Benchmark avg
73.5
all models
Leader
91.6
GPT-5.2 Pro
Gap to leader
27.3
points

Score distribution

The chart shows the top 10 models on MMLU-Pro, with Seed-OSS 8B 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, Seed-OSS 8B sits at #464 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 27.3 points. The median model in this index scores 76.1, which puts Seed-OSS 8B below the midpoint.

ByteDance models average 74.7 on this benchmark. Seed-OSS 8B is 10.4 points below that provider line, so it is a weaker result than the average ByteDance model.

Among small open-weight models, the average is 59.8. Seed-OSS 8B is 4.5 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 64.3 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 $1.05 per million input tokens, Seed-OSS 8B is below 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
QwQ 8B Alibaba Cloud 16384 $1.37 59.5
Fusion Nano OpenRouter 8192 $2.96 56.8
Llama 3.1 Cerebras 8B Cerebras 32768 $1.02 58.2
Llama 3 Modal 8B Modal 32768 $0.98 56.6
Seed-OSS 8B ByteDance 8192 $1.05 57.1
GLM-4.5 8B Zhipu AI 32768 $1.46 61.3
Qwen3 7B Alibaba Cloud 32768 $1.37 59.8

Other benchmarks for Seed-OSS 8B

BenchmarkScoreRankPercentileRelative
GPQA Diamond 54.5 473 21th
SWE-bench Verified 40.6 516 14th
HumanEval 61.3 480 20th
MATH-500 58.6 483 20th
AIME 2025 43.4 519 14th
LiveCodeBench 46.0 487 19th
IFEval 69.3 471 22th
TruthfulQA 62.3 499 17th
HellaSwag 70.9 524 13th
MMMU 56.6 479 20th
Arena Elo 1267.1 465 23th

FAQ

What score does Seed-OSS 8B get on MMLU-Pro?

Seed-OSS 8B scores 64.3 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.

How does Seed-OSS 8B rank on MMLU-Pro?

It ranks #464 of 600 models, in the 23rd percentile. The leader is GPT-5.2 Pro at 91.6.

Is Seed-OSS 8B 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 Seed-OSS 8B cost?

Seed-OSS 8B costs $1.05 per million input tokens and $5.47 per million output tokens.

Related