Commonsense · Alibaba Cloud

Qwen3-Max Pro on HellaSwag: score, rank and what it means

Qwen3-Max Pro scores 92.4 on HellaSwag, placing it #36 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
92.4
0–100 scale
Rank
#36
of 600
Percentile
94th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
3.7
points

Score distribution

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

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Qwen3-Max Pro sits at #36 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 3.7 points. The median model in this index scores 83.6, which puts Qwen3-Max Pro above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3-Max Pro is 9.3 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 92.3. Qwen3-Max Pro is 0.1 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 92.4 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 $18.87 per million input tokens, Qwen3-Max Pro is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
Grok 4 Turbo xAI 1000000 $19.21 86.7
o3 Pro OpenAI 400000 $17.89 85.8
Claude Opus 4.5 Anthropic 400000 $19.42 87.7
Qwen3-Max Pro Alibaba Cloud 400000 $18.87 86.2
o4 Reasoning OpenAI 1000000 $19.69 87.5
Kimi K2 Moonshot AI 128000 $5.85 83.0

Other benchmarks for Qwen3-Max Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 88.7 11 98th
GPQA Diamond 80.0 58 90th
SWE-bench Verified 75.6 34 94th
HumanEval 92.1 20 97th
MATH-500 91.8 27 96th
AIME 2025 85.4 35 94th
LiveCodeBench 81.0 32 95th
IFEval 93.2 20 97th
TruthfulQA 88.6 17 97th
MMMU 79.5 67 89th
Arena Elo 1466.4 42 93th

FAQ

What score does Qwen3-Max Pro get on HellaSwag?

Qwen3-Max Pro scores 92.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3-Max Pro rank on HellaSwag?

It ranks #36 of 600 models, in the 94th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3-Max Pro good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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 Pro cost?

Qwen3-Max Pro costs $18.87 per million input tokens and $84.39 per million output tokens.

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