Commonsense · Alibaba Cloud

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

Qwen3-Max Mini scores 84.2 on HellaSwag, placing it #272 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
84.2
0–100 scale
Rank
#272
of 600
Percentile
55th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
11.9
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Qwen3-Max Mini 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 Mini sits at #272 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 11.9 points. The median model in this index scores 83.6, which puts Qwen3-Max Mini above the midpoint.

Alibaba Cloud models average 83.1 on this benchmark. Qwen3-Max Mini is 1.1 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 86.8. Qwen3-Max Mini is 2.6 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 84.2 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 $11.13 per million input tokens, Qwen3-Max Mini 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
Nemotron 4 Chat NVIDIA 65536 $3.99 75.0
Yi-Large Instruct 01.AI 32768 $3.48 73.4
Llama 3 Baseten Baseten 128000 $3.62 74.9
Llama 3 Baseten Chat Baseten 200000 $3.55 73.2
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Reka Flash Reasoning Reka AI 32768 $10.70 75.6
Fusion Reasoning OpenRouter 65536 $8.59 72.2

Other benchmarks for Qwen3-Max Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.9 151 75th
GPQA Diamond 70.1 259 57th
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
MMMU 70.0 305 49th
Arena Elo 1395.1 229 62th

FAQ

What score does Qwen3-Max Mini get on HellaSwag?

Qwen3-Max Mini scores 84.2 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Qwen3-Max Mini rank on HellaSwag?

It ranks #272 of 600 models, in the 55th percentile. The leader is GPT-5.2 Max at 96.1.

Is Qwen3-Max Mini 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 Mini cost?

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

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