Coding · Alibaba Cloud

Qwen3 Chat on HumanEval: score, rank and what it means

Qwen3 Chat scores 83.9 on HumanEval, placing it #136 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
83.9
0–100 scale
Rank
#136
of 600
Percentile
77th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
12.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Qwen3 Chat 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 Chat sits at #136 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 12.9 points. The median model in this index scores 77.4, which puts Qwen3 Chat above the midpoint.

Alibaba Cloud models average 77.1 on this benchmark. Qwen3 Chat is 6.8 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 Chat 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 83.9 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 $4.75 per million input tokens, Qwen3 Chat 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
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
ERNIE 4.5 Baidu 65536 $13.44 80.0
MiniMax-Text Chat MiniMax 128000 $4.26 77.8
Qwen3 Chat Alibaba Cloud 128000 $4.75 79.1
GLM-4.5 Chat Zhipu AI 65536 $4.53 78.3
GLM-4.6 Zhipu AI 128000 $5.10 80.2

Other benchmarks for Qwen3 Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.4 98 84th
GPQA Diamond 73.9 173 71th
SWE-bench Verified 68.5 133 78th
MATH-500 81.4 180 70th
AIME 2025 73.8 190 68th
LiveCodeBench 72.2 144 76th
IFEval 87.5 118 80th
TruthfulQA 81.3 145 76th
HellaSwag 86.5 194 68th
MMMU 77.3 110 82th
Arena Elo 1417.2 160 73th

FAQ

What score does Qwen3 Chat get on HumanEval?

Qwen3 Chat scores 83.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Qwen3 Chat rank on HumanEval?

It ranks #136 of 600 models, in the 77th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Qwen3 Chat 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 Chat cost?

Qwen3 Chat costs $4.75 per million input tokens and $17.42 per million output tokens.

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