Mathematics · Alibaba Cloud

Qwen3 8B on AIME 2025: score, rank and what it means

Qwen3 8B scores 52.6 on AIME 2025, placing it #438 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
52.6
0–100 scale
Rank
#438
of 600
Percentile
27th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
38.8
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Qwen3 8B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Qwen3 8B sits at #438 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 38.8 points. The median model in this index scores 67.6, which puts Qwen3 8B below the midpoint.

Alibaba Cloud models average 66.9 on this benchmark. Qwen3 8B is 14.3 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 41.6. Qwen3 8B is 11.0 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 52.6 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
SmolLM3 Chat Hugging Face 16384 $1.61 62.1
SmolLM3 Hugging Face 8192 $1.71 63.1
Qwen3-Coder 7B Alibaba Cloud 32768 $1.24 59.6
Qwen3 8B Alibaba Cloud 8192 $1.66 61.9
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Firefunction Mini Fireworks AI 32768 $4.63 63.2

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
LiveCodeBench 51.5 433 28th
IFEval 71.0 442 26th
TruthfulQA 67.2 427 29th
HellaSwag 75.6 433 28th
MMMU 59.8 430 28th
Arena Elo 1305.0 411 32th

FAQ

What score does Qwen3 8B get on AIME 2025?

Qwen3 8B scores 52.6 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Qwen3 8B rank on AIME 2025?

It ranks #438 of 600 models, in the 27th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Qwen3 8B good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 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 Qwen3 8B cost?

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

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