Coding · Alibaba Cloud

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

Qwen3-Coder scores 83.5 on HumanEval, placing it #146 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.5
0–100 scale
Rank
#146
of 600
Percentile
76th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
13.3
points

Score distribution

The chart shows the top 10 models on HumanEval, with Qwen3-Coder 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-Coder sits at #146 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.3 points. The median model in this index scores 77.4, which puts Qwen3-Coder above the midpoint.

Alibaba Cloud models average 77.1 on this benchmark. Qwen3-Coder is 6.4 points above that provider line, so it is a stronger result than the average Alibaba Cloud model.

Among coding models, the average is 72.5. Qwen3-Coder is 11.0 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 83.5 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 $4.94 per million input tokens, Qwen3-Coder 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
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Gemini 3 Pro Mini Google DeepMind 128000 $12.27 78.1
Grok 4 Mini xAI 65536 $12.21 77.9
Hunyuan-Large Chat Tencent 200000 $4.35 78.1
Qwen3-Coder Alibaba Cloud 200000 $4.94 79.5
Command A Max Cohere 400000 $14.28 79.9
Command A Turbo Cohere 32768 $13.53 79.8

Other benchmarks for Qwen3-Coder

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.7 89 85th
GPQA Diamond 77.9 88 85th
SWE-bench Verified 71.0 96 84th
MATH-500 86.1 92 85th
AIME 2025 74.2 175 71th
LiveCodeBench 69.8 196 67th
IFEval 86.6 144 76th
TruthfulQA 79.8 192 68th
HellaSwag 86.7 188 69th
MMMU 75.2 159 74th
Arena Elo 1439.3 98 84th

FAQ

What score does Qwen3-Coder get on HumanEval?

Qwen3-Coder scores 83.5 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Qwen3-Coder rank on HumanEval?

It ranks #146 of 600 models, in the 76th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Qwen3-Coder 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-Coder cost?

Qwen3-Coder costs $4.94 per million input tokens and $19.51 per million output tokens.

Related