Mathematics · Alibaba Cloud

Qwen3 1.5B on AIME 2025: score, rank and what it means

Qwen3 1.5B scores 41.5 on AIME 2025, placing it #533 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
41.5
0–100 scale
Rank
#533
of 600
Percentile
11th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
49.9
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Qwen3 1.5B 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 1.5B sits at #533 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 49.9 points. The median model in this index scores 67.6, which puts Qwen3 1.5B below the midpoint.

Alibaba Cloud models average 66.9 on this benchmark. Qwen3 1.5B is 25.4 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 1.5B is 0.1 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 41.5 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 $0.84 per million input tokens, Qwen3 1.5B 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
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
Mixtral 7B Mistral AI 16384 $0.70 54.1
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Llama 4 Maverick 1.5B Meta AI 8192 $0.93 55.2
Qwen3 1.5B Alibaba Cloud 4096 $0.84 53.5
Yi-Lightning 7B 01.AI 32768 $1.00 55.9
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7

Other benchmarks for Qwen3 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.8 516 14th
GPQA Diamond 49.8 527 12th
SWE-bench Verified 36.9 542 10th
HumanEval 59.8 507 16th
MATH-500 54.2 526 12th
LiveCodeBench 38.8 544 9th
IFEval 64.5 536 11th
TruthfulQA 60.9 520 13th
HellaSwag 69.1 547 9th
MMMU 52.1 530 12th
Arena Elo 1238.1 517 14th

FAQ

What score does Qwen3 1.5B get on AIME 2025?

Qwen3 1.5B scores 41.5 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Qwen3 1.5B rank on AIME 2025?

It ranks #533 of 600 models, in the 11th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Qwen3 1.5B 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 1.5B cost?

Qwen3 1.5B costs $0.84 per million input tokens and $4.53 per million output tokens.

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