Multimodal · Alibaba Cloud

Qwen3 8B on MMMU: score, rank and what it means

Qwen3 8B scores 59.8 on MMMU, placing it #430 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.

Score
59.8
0–100 scale
Rank
#430
of 600
Percentile
28th
within the index
Benchmark avg
67.1
all models
Leader
86.9
GPT-5.2 Max
Gap to leader
27.1
points

Score distribution

The chart shows the top 10 models on MMMU, with Qwen3 8B 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, Qwen3 8B sits at #430 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 27.1 points. The median model in this index scores 70.0, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 69.4 on this benchmark. Qwen3 8B is 9.6 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among small open-weight models, the average is 52.4. Qwen3 8B is 7.4 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 59.8 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 $1.66 per million input tokens, Qwen3 8B 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
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Pythia Chat EleutherAI 4096 $1.31 59.1
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
GLM-4.5 7B Zhipu AI 8192 $1.32 60.2

Other benchmarks for Qwen3 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 432 28th
GPQA Diamond 57.2 437 27th
SWE-bench Verified 51.0 413 31th
HumanEval 65.7 434 28th
MATH-500 62.8 438 27th
AIME 2025 52.6 438 27th
LiveCodeBench 51.5 433 28th
IFEval 71.0 442 26th
TruthfulQA 67.2 427 29th
HellaSwag 75.6 433 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on MMMU?

Qwen3 8B scores 59.8 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.

How does Qwen3 8B rank on MMMU?

It ranks #430 of 600 models, in the 28th percentile. The leader is GPT-5.2 Max at 86.9.

Is Qwen3 8B good at MMMU?

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 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 Qwen3 8B cost?

Qwen3 8B costs $1.66 per million input tokens and $6.65 per million output tokens.

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