Coding · Alibaba Cloud

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

Qwen3-Max Mini scores 83.3 on HumanEval, placing it #155 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.3
0–100 scale
Rank
#155
of 600
Percentile
74th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

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

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Qwen3-Max Mini sits at #155 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.5 points. The median model in this index scores 77.4, which puts Qwen3-Max Mini above the midpoint.

Alibaba Cloud models average 77.1 on this benchmark. Qwen3-Max Mini is 6.2 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among multimodal models, the average is 82.2. Qwen3-Max Mini is 1.1 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 83.3 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 $11.13 per million input tokens, Qwen3-Max Mini is above the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
Reka Core Pro Reka AI 65536 $13.44 79.9
Hunyuan-Turbo Reasoning Tencent 128000 $11.89 77.5
Nemotron 4 Instruct NVIDIA 65536 $4.10 76.4
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Hunyuan-Turbo Pro Tencent 65536 $12.00 77.6
Llama 4 Maverick Chat Meta AI 128000 $5.09 79.7

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
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 HumanEval?

Qwen3-Max Mini scores 83.3 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Qwen3-Max Mini rank on HumanEval?

It ranks #155 of 600 models, in the 74th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Qwen3-Max Mini good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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.

Related