> For the complete documentation index, see [llms.txt](https://docs.cherryai.com.cn/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cherryai.com.cn/docs/en-us/other/model_rank/code-webdev.md).
# Code / Web Development Rankings
This page shows [Arena AI](https://arena.ai/leaderboard/code/webdev) A daily snapshot of the top 30 on the leaderboard, making it easy to quickly understand recent model performance. For the full leaderboard, filters, and latest changes, please visit the Arena AI official website.
This leaderboard evaluates models' real-world performance on Web frontend development (HTML/CSS/JS) tasks.
> **Data updated at**: 2026-09-23 13:18:19 UTC / 2026-09-23 21:18:19 CST (Beijing time)
{% hint style="info" %}
The leaderboard reflects specific evaluations and user voting preferences, and does not mean a model will necessarily be better for your task. When choosing a model, also consider price, speed, context length, tool calling, privacy, and regional availability.
{% endhint %}
## Top 30
| Rank | Rank range | Model | Score | Votes | Price $/million tokens | Context |
| ---: | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------- | ------ | ---------------------- | ------- |
| 1 | 1-1 | gpt-6-astra-max [1](https://openai.com/index/gpt-6-astra/) | 1793 (++12/-12) | 4,230 | $10/$50 | 1.1M |
| 2 | 2-2 | claude-fable-5.1-max [1](https://www.anthropic.com/claude-fable-and-mythos-5-1) | 1755 (++11/-11) | 4,887 | $10/$50 | 1M |
| 3 | 3-3 | claude-opus-5-max [1](https://www.anthropic.com/news/claude-opus-5) | 1691 (++7/-7) | 14,251 | $5/$25 | 1M |
| 4 | 4-8 | qwen3.8-max [1](https://www.qwencloud.com/models/qwen3.8-max) | 1671 (++12/-12) Preliminary | 3,221 | $1.69/$5.07 | 1M |
| 5 | 4-8 | qwen3.8-max-0902 [1](https://www.qianwenai.com/models/qwen3.8-max-0902) | 1662 (++10/-10) Preliminary | 5,350 | $2/$6 | N/A |
| 6 | 4-8 | claude-opus-5-high [1](https://www.anthropic.com/news/claude-opus-5) | 1661 (++6/-6) | 16,887 | $5/$25 | 1M |
| 7 | 4-8 | kimi-k3-max [1](https://platform.kimi.ai/docs/guide/kimi-k3-quickstart) | 1658 (++7/-7) | 13,140 | $3/$15 | 1M |
| 8 | 4-9 | muse-spark-1.3-max [1](https://developer.meta.com/ai/models/muse-spark/) | 1657 (++10/-10) | 5,239 | $1.25/$4.25 | 1M |
| 9 | 9-15 | qwen3.8-flash-next [1](https://qwen.ai/blog?id=qwen3.8-flash-next) | 1636 (++10/-10) Preliminary | 4,313 | $0.16/$0.47 | 1M |
| 10 | 8-18 | grok-4.7-xhigh [1](https://docs.x.ai/developers/models/grok-4.7) | 1632 (++17/-17) | 1,425 | $2/$6 | 500K |
| | N/A | mimo-v2.6-pro [1](https://mimo.xiaomi.com/mimo-v2-6) | 1628 (++18/-18) AutoEval | N/A | $0.43/$0.87 | 1M |
| 11 | 9-18 | hy4-preview [1](https://hy.tencent.ai/research/hy4-preview) | 1627 (++10/-10) Preliminary | 4,326 | $0.83/$2.50 | 1M |
| 12 | 9-18 | claude-fable-5-high [1](https://www.anthropic.com/news/claude-fable-5-mythos-5) | 1627 (++7/-7) | 11,824 | $10/$50 | 1M |
| 13 | 9-18 | muse-spark-1.3 (xHigh) [1](https://developer.meta.com/ai/models/muse-spark/) | 1624 (++10/-10) | 4,285 | $1.25/$4.25 | 1M |
| 14 | 9-18 | glm-5.3-max [1](https://z.ai/blog/glm-5.3) | 1620 (++9/-9) | 5,763 | $1.40/$4.40 | 1M |
| 15 | 10-18 | gpt-5.6-sol-xhigh (codex-harness) [1](https://openai.com/index/gpt-5-6/) | 1617 (++6/-6) | 14,266 | $4/$20 | 1.1M |
| 16 | 10-18 | grok-4.6-high [1](https://docs.x.ai/developers/models/grok-4.6) | 1616 (++9/-9) | 6,447 | $2/$6 | 500K |
| 17 | 9-19 | deepseek-v4.1-flash-max [1](https://www.deepseek.com/en/news/deepseek-v4-1-flash/) | 1616 (++12/-12) | 3,125 | $0.30/$1.20 | 1M |
| 18 | 10-20 | glm-5.3-flash [1](https://z.ai/blog/glm-5.3) | 1612 (++9/-9) | 5,818 | $0.06/$0.20 | 1M |
| 19 | 17-22 | glm-5.2-max [1](https://huggingface.co/zai-org/GLM-5.2) | 1598 (++7/-7) | 12,373 | $1.40/$4.40 | 1M |
| 20 | 18-24 | gemini-3.7-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-flash/) | 1595 (++8/-8) Preliminary | 7,061 | $0.75/$3.75 | 1M |
| 21 | 19-24 | qwen3.8-27b [1](https://huggingface.co/Qwen/Qwen3.8-27B) | 1591 (++8/-8) | 9,092 | $0.40/$3 | N/A |
| 22 | 19-24 | gemini-3.8-flash-high [1](https://blog.google/innovation-and-ai/models-and-research/gemini-models/3-8-flash-and-3-8-flash-cyber/) | 1583 (++9/-9) Preliminary | 6,558 | $0.75/$3.75 | 1M |
| 23 | 20-24 | deepseek-v4-pro-high-20260813 [1](https://api-docs.deepseek.com/updates/#date-2026-08-13) | 1580 (++10/-10) | 4,636 | $1.32/$3.96 | N/A |
| 24 | 20-24 | deepseek-v4-flash-high [1](https://api-docs.deepseek.com/updates/#date-2026-07-31) | 1580 (++10/-10) | 4,739 | $0.30/$1.20 | 1M |
| 25 | 25-29 | claude-opus-4-7 [1](https://www.anthropic.com/news/claude-opus-4-7) | 1557 (++6/-6) | 15,912 | $5/$25 | 1M |
| 26 | 25-29 | claude-opus-4-8-high [1](https://www.anthropic.com/news/claude-opus-4-8) | 1556 (++6/-6) | 16,020 | $5/$25 | 1M |
| 27 | 25-30 | claude-opus-4-7-high [1](https://www.anthropic.com/news/claude-opus-4-7) | 1556 (++6/-6) | 16,391 | $5/$25 | 1M |
| 28 | 25-31 | grok-4.5 [1](https://docs.x.ai/developers/models/grok-4.5) | 1552 (++7/-7) | 10,137 | $2/$6 | 500K |
| 29 | 25-35 | claude-opus-4-6-high [1](https://www.anthropic.com/news/claude-opus-4-6) | 1547 (++6/-6) | 18,328 | $5/$25 | 1M |
## How to read this table
* **Rank / Rank range**: Relative ranking estimated by Arena AI based on head-to-head votes; the rank range indicates ranking fluctuations within the confidence interval.
* **Score**: Relative score, suitable for comparing models on the leaderboard at the same point in time.
* **Votes / Sessions**: A reference for sample size; with fewer samples, rankings are usually more volatile.
* **Price $/million tokens**: Reference price per million input/output tokens.
* **Context**: Maximum context length supported by the model.
## Three things to confirm when choosing a model
1. Whether the provider actually offers this model, and whether it is available in your region and account;
2. Whether the API pricing, rate limits, and context length fit your task;
3. Run a small-scale test with 3–5 real tasks; don't rely only on the overall leaderboard rank.
## Data source
Data from [Arena AI official Code / Web Development leaderboard](https://arena.ai/leaderboard/code/webdev), updated daily by GitHub Actions. For model pricing, licenses, and capabilities, please refer to the model provider's official information.
---
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