Coding · Alibaba Cloud

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

Qwen3-Max Turbo scores 92.5 on HumanEval, placing it #15 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
92.5
0–100 scale
Rank
#15
of 600
Percentile
98th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
4.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Qwen3-Max Turbo 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 Turbo sits at #15 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 4.3 points. The median model in this index scores 77.4, which puts Qwen3-Max Turbo above the midpoint.

Alibaba Cloud models average 77.1 on this benchmark. Qwen3-Max Turbo is 15.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among frontier models, the average is 90.8. Qwen3-Max Turbo is 1.7 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 92.5 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 $17.70 per million input tokens, Qwen3-Max Turbo 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
Grok 4 Turbo xAI 1000000 $19.21 86.7
Claude Sonnet 4.5 Anthropic 400000 $17.84 86.0
Claude Sonnet 4.5 Pro Anthropic 1000000 $18.73 86.7
Qwen3-Max Reasoning Alibaba Cloud 2000000 $18.12 85.9
Qwen3-Max Turbo Alibaba Cloud 1000000 $17.70 84.7
Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5

Other benchmarks for Qwen3-Max Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.8 41 93th
GPQA Diamond 78.3 79 87th
SWE-bench Verified 75.9 31 95th
MATH-500 91.9 24 96th
AIME 2025 81.2 71 88th
LiveCodeBench 76.8 72 88th
IFEval 92.1 38 94th
TruthfulQA 86.3 46 92th
HellaSwag 90.8 67 89th
MMMU 78.8 79 87th
Arena Elo 1456.9 59 90th

FAQ

What score does Qwen3-Max Turbo get on HumanEval?

Qwen3-Max Turbo scores 92.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Qwen3-Max Turbo rank on HumanEval?

It ranks #15 of 600 models, in the 98th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Qwen3-Max Turbo 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 Turbo cost?

Qwen3-Max Turbo costs $17.70 per million input tokens and $63.95 per million output tokens.

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