Qwen3-Coder Chat on HumanEval: score, rank and what it means
Qwen3-Coder Chat scores 82.9 on HumanEval, placing it #161 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Qwen3-Coder Chat highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Chat sits at #161 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 13.9 points. The median model in this index scores 77.4, which puts Qwen3-Coder Chat above the midpoint.
Alibaba Cloud models average 77.1 on this benchmark. Qwen3-Coder Chat is 5.8 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 Chat is 10.4 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 82.9 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 $4.59 per million input tokens, Qwen3-Coder 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 4 Maverick Chat | Meta AI | 128000 | $5.09 | 79.7 |
| Llama 4 Scout Chat | Meta AI | 32768 | $4.66 | 78.0 |
| Command A | Cohere | 200000 | $13.30 | 79.6 |
| Sonar Pro Pro | Perplexity | 200000 | $13.59 | 79.7 |
| Qwen3-Coder Chat | Alibaba Cloud | 128000 | $4.59 | 78.4 |
| Claude Opus 4.5 Mini | Anthropic | 65536 | $12.72 | 79.0 |
| DeepSeek-V3.2 Base | DeepSeek | 128000 | $5.05 | 80.2 |
Other benchmarks for Qwen3-Coder Chat
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 79.4 | 201 | 67th | |
| GPQA Diamond | 72.4 | 213 | 65th | |
| SWE-bench Verified | 69.5 | 122 | 80th | |
| MATH-500 | 85.2 | 106 | 82th | |
| AIME 2025 | 74.0 | 183 | 70th | |
| LiveCodeBench | 68.9 | 211 | 65th | |
| IFEval | 85.0 | 193 | 68th | |
| TruthfulQA | 81.3 | 146 | 76th | |
| HellaSwag | 88.0 | 142 | 76th | |
| MMMU | 76.2 | 135 | 78th | |
| Arena Elo | 1411.0 | 182 | 70th |
FAQ
What score does Qwen3-Coder Chat get on HumanEval?
Qwen3-Coder Chat scores 82.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Qwen3-Coder Chat rank on HumanEval?
It ranks #161 of 600 models, in the 73rd percentile. The leader is GPT-5.2 Pro at 96.8.
Is Qwen3-Coder 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-Coder Chat cost?
Qwen3-Coder Chat costs $4.59 per million input tokens and $21.05 per million output tokens.