Mathematics · Alibaba Cloud

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

Qwen3 scores 74.5 on AIME 2025, placing it #166 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
74.5
0–100 scale
Rank
#166
of 600
Percentile
72th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Qwen3 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 sits at #166 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 16.9 points. The median model in this index scores 67.6, which puts Qwen3 above the midpoint.

Alibaba Cloud models average 66.9 on this benchmark. Qwen3 is 7.6 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 73.9. Qwen3 is 0.6 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 74.5 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 $5.04 per million input tokens, Qwen3 is above 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
Sonar Pro Perplexity 128000 $13.01 79.1
Reka Core Max Reka AI 128000 $13.41 79.3
GLM-4.6 Instruct Zhipu AI 1000000 $5.15 80.4
Llama 3 Anyscale Instruct Anyscale 200000 $3.91 75.7
Qwen3 Alibaba Cloud 128000 $5.04 80.3
DeepSeek-V3.2 Base DeepSeek 128000 $5.05 80.2
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8

Other benchmarks for Qwen3

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.2 143 76th
GPQA Diamond 77.7 94 84th
SWE-bench Verified 71.6 83 86th
HumanEval 87.0 89 85th
MATH-500 86.5 85 86th
LiveCodeBench 73.8 114 81th
IFEval 85.6 170 72th
TruthfulQA 80.4 168 72th
HellaSwag 88.1 139 77th
MMMU 76.7 119 80th
Arena Elo 1420.9 145 76th

FAQ

What score does Qwen3 get on AIME 2025?

Qwen3 scores 74.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Qwen3 rank on AIME 2025?

It ranks #166 of 600 models, in the 72nd percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Qwen3 good at AIME 2025?

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 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 cost?

Qwen3 costs $5.04 per million input tokens and $22.52 per million output tokens.

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