Reasoning · Alibaba Cloud

Qwen3-Max on GPQA Diamond: score, rank and what it means

Qwen3-Max scores 82.3 on GPQA Diamond, placing it #26 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
82.3
0–100 scale
Rank
#26
of 600
Percentile
96th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
4.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Qwen3-Max highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Qwen3-Max sits at #26 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 4.7 points. The median model in this index scores 68.8, which puts Qwen3-Max above the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3-Max is 14.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 81.5. Qwen3-Max is 0.8 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 82.3 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 $17.37 per million input tokens, Qwen3-Max is above the median input price of $4.00 across the 600 models scored on GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
Claude Sonnet 4.5 Anthropic 400000 $17.84 86.0
Grok 4 xAI 200000 $17.90 86.5
GPT-5.1 OpenAI 2000000 $19.01 86.0
Qwen3-Max Alibaba Cloud 400000 $17.37 84.4
o4 OpenAI 2000000 $17.74 85.4
GPT-5.2 Vision OpenAI 1000000 $19.03 87.4

Other benchmarks for Qwen3-Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 84.0 83 86th
SWE-bench Verified 73.3 62 90th
HumanEval 88.5 66 89th
MATH-500 89.7 53 91th
AIME 2025 81.1 74 88th
LiveCodeBench 82.2 24 96th
IFEval 92.5 31 95th
TruthfulQA 83.4 99 84th
HellaSwag 92.9 25 96th
MMMU 78.7 81 87th
Arena Elo 1449.2 74 88th

FAQ

What score does Qwen3-Max get on GPQA Diamond?

Qwen3-Max scores 82.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3-Max rank on GPQA Diamond?

It ranks #26 of 600 models, in the 96th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3-Max good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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-Max cost?

Qwen3-Max costs $17.37 per million input tokens and $94.30 per million output tokens.

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