Reasoning · Alibaba Cloud

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

Qwen3-Max Mini scores 70.1 on GPQA Diamond, placing it #259 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.1
0–100 scale
Rank
#259
of 600
Percentile
57th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
16.9
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Qwen3-Max Mini 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 Mini sits at #259 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.9 points. The median model in this index scores 68.8, which puts Qwen3-Max Mini above the midpoint.

Alibaba Cloud models average 67.9 on this benchmark. Qwen3-Max Mini is 2.2 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 73.5. Qwen3-Max Mini is 3.4 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 70.1 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 $11.13 per million input tokens, Qwen3-Max Mini 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
Reka Flash Turbo Reka AI 128000 $10.19 75.1
Llama 3 Hyperbolic Instruct Hyperbolic 200000 $3.79 76.2
Llama 3.3 Instruct Meta AI 128000 $4.33 76.6
Phi-4 Chat Microsoft 65536 $3.66 74.7
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Codestral Chat Mistral AI 32768 $3.89 75.8
Command R+ Chat Cohere 32768 $4.02 76.0

Other benchmarks for Qwen3-Max Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.9 151 75th
SWE-bench Verified 62.6 265 56th
HumanEval 83.3 155 74th
MATH-500 82.6 153 75th
AIME 2025 73.3 201 67th
LiveCodeBench 71.2 165 73th
IFEval 83.4 235 61th
TruthfulQA 80.4 169 72th
HellaSwag 84.2 272 55th
MMMU 70.0 305 49th
Arena Elo 1395.1 229 62th

FAQ

What score does Qwen3-Max Mini get on GPQA Diamond?

Qwen3-Max Mini scores 70.1 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Qwen3-Max Mini rank on GPQA Diamond?

It ranks #259 of 600 models, in the 57th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Qwen3-Max Mini 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 Mini cost?

Qwen3-Max Mini costs $11.13 per million input tokens and $39.52 per million output tokens.

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