Mathematics · Alibaba Cloud

QwQ Base on AIME 2025: score, rank and what it means

QwQ Base scores 66.2 on AIME 2025, placing it #326 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
66.2
0–100 scale
Rank
#326
of 600
Percentile
46th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
25.2
points

Score distribution

The chart shows the top 10 models on AIME 2025, with QwQ Base 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, QwQ Base sits at #326 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 25.2 points. The median model in this index scores 67.6, which puts QwQ Base below the midpoint.

Alibaba Cloud models average 66.9 on this benchmark. QwQ Base is 0.7 points below that provider line, so it is a weaker result than the average Alibaba Cloud model.

Among multimodal models, the average is 73.9. QwQ Base is 7.7 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 66.2 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 $3.68 per million input tokens, QwQ Base 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
Command A Mini Cohere 8192 $8.12 71.0
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Llama 3 Replicate Chat Replicate 200000 $3.74 74.7
Llama 3 Modal Chat Modal 65536 $3.55 73.3
QwQ Base Alibaba Cloud 65536 $3.68 74.1
Yi-Large 01.AI 32768 $3.40 73.5
GPT-5.1 Nano OpenAI 32768 $9.56 74.1

Other benchmarks for QwQ Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.5 263 56th
GPQA Diamond 69.9 268 55th
SWE-bench Verified 65.2 211 65th
HumanEval 77.0 308 49th
MATH-500 77.5 266 56th
LiveCodeBench 64.0 319 47th
IFEval 81.2 303 50th
TruthfulQA 79.8 190 68th
HellaSwag 86.4 201 67th
MMMU 70.0 304 49th
Arena Elo 1373.8 300 50th

FAQ

What score does QwQ Base get on AIME 2025?

QwQ Base scores 66.2 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does QwQ Base rank on AIME 2025?

It ranks #326 of 600 models, in the 46th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is QwQ Base 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 QwQ Base cost?

QwQ Base costs $3.68 per million input tokens and $15.98 per million output tokens.

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