Coding benchmark

# LMArena WebDev leaderboard

> LMArena WebDev results for 113 AI models, led by Claude Opus 5.5 at 1813. What the benchmark measures, who runs it, and a source for every score.
- Canonical page: https://noometry.com/benchmarks/arena-webdev
- Last updated: 2026-10-10
- Title: LMArena WebDev Leaderboard (October 2026): Scores by Model

As of October 2026, Claude Opus 5.5 has the highest published LMArena WebDev score on Noometry at 1813, out of 113 models with results.

Last verified October 10, 2026

## About LMArena WebDev

Blind votes on web apps built by two anonymous models from the same prompt.

- **Category:** [Coding](https://noometry.com/best/coding)
- **Introduced:** 2024
- **Format:** Pairwise human votes
- **Unit:** Arena rating (Bradley–Terry)
- **Official site:** [lmarena.ai](https://lmarena.ai/leaderboard/webdev)

## Top 15 models

Top models on LMArena WebDev

1.  Claude Opus 5.5 1813
2.  GPT-6 Astra 1786
3.  Claude Sonnet 5.5 1774
4.  GPT-6.1 Sol 1755
5.  Claude Fable 5.1 1744
6.  Claude Opus 5 1691
7.  GPT-6 Sol 1688
8.  Gemini 4 Argon 1678
9.  Qwen3.8 Max 1674
10.  Muse Spark 1.3 1657
11.  Kimi K3 1654
12.  Grok 4.7 1639
13.  MiMo-V2.6-Flash 1637
14.  Hy4 preview 1632
15.  MiMo-V2.6-Pro 1629
16.  1550160016501700175018001850

Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise)

## All results

LMArena WebDev results by model
| # | Model | Provider | Rating | Setting | Source | Date |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [Claude Opus 5.5](https://noometry.com/models/claude-opus-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1813 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 2 | [GPT-6 Astra](https://noometry.com/models/gpt-6-astra) | [OpenAI](https://noometry.com/providers/openai) | 1786 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 3 | [Claude Sonnet 5.5](https://noometry.com/models/claude-sonnet-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1774 | xhigh | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 4 | [GPT-6.1 Sol](https://noometry.com/models/gpt-6-1-sol) | [OpenAI](https://noometry.com/providers/openai) | 1755 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 5 | [Claude Fable 5.1](https://noometry.com/models/claude-fable-5-1) | [Anthropic](https://noometry.com/providers/anthropic) | 1744 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 6 | [Claude Opus 5](https://noometry.com/models/claude-opus-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1691 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 7 | [GPT-6 Sol](https://noometry.com/models/gpt-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 1688 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 8 | [Gemini 4 Argon](https://noometry.com/models/gemini-4-argon) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1678 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 9 | [Qwen3.8 Max](https://noometry.com/models/qwen3-8-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1674 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 10 | [Muse Spark 1.3](https://noometry.com/models/muse-spark-1-3) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1657 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 11 | [Kimi K3](https://noometry.com/models/kimi-k3) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1654 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 12 | [Grok 4.7](https://noometry.com/models/grok-4-7) | [xAI](https://noometry.com/providers/xai) | 1639 | xhigh | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 13 | [MiMo-V2.6-Flash](https://noometry.com/models/mimo-v2-6-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1637 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 14 | [Hy4 preview](https://noometry.com/models/hy4-preview) |  [![](/logos/tencent.svg) Tencent](https://noometry.com/providers/tencent) | 1632 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 15 | [MiMo-V2.6-Pro](https://noometry.com/models/mimo-v2-6-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1629 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 16 | [Claude Fable 5](https://noometry.com/models/claude-fable-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1625 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 17 | [GLM-5.3](https://noometry.com/models/glm-5-3) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1622 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 18 | [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1619 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 19 | [GPT-5.6 Sol](https://noometry.com/models/gpt-5-6-sol) | [OpenAI](https://noometry.com/providers/openai) | 1618 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 20 | [Grok 4.6](https://noometry.com/models/grok-4-6) | [xAI](https://noometry.com/providers/xai) | 1617 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 21 | [GLM-5.3-Flash](https://noometry.com/models/glm-5-3-flash) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1609 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 22 | [GLM-5.2](https://noometry.com/models/glm-5-2) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1603 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 23 | [Qwen3.8 27B](https://noometry.com/models/qwen3-8-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1593 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 24 | [Gemini 3.7 Flash](https://noometry.com/models/gemini-3-7-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1592 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 25 | [Claude Haiku 5.5](https://noometry.com/models/claude-haiku-5-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1587 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 26 | [Gemini 3.8 Flash](https://noometry.com/models/gemini-3-8-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1584 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 27 | [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1582 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 28 | [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1582 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 29 | [GPT-6 Luna](https://noometry.com/models/gpt-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1581 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 30 | [Step 5 Preview](https://noometry.com/models/step-5-preview) |  [![](/logos/stepfun.svg) StepFun](https://noometry.com/providers/stepfun) | 1564 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 31 | [Claude Opus 4.7](https://noometry.com/models/claude-opus-4-7) | [Anthropic](https://noometry.com/providers/anthropic) | 1558 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 32 | [Claude Opus 4.8](https://noometry.com/models/claude-opus-4-8) | [Anthropic](https://noometry.com/providers/anthropic) | 1556 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 33 | [Grok 4.5](https://noometry.com/models/grok-4-5) | [xAI](https://noometry.com/providers/xai) | 1553 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 34 | [Claude Opus 4.6](https://noometry.com/models/claude-opus-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1547 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 35 | [Muse Spark 1.1](https://noometry.com/models/muse-spark-1-1) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1542 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 36 | [Mistral Large 4](https://noometry.com/models/mistral-large-4) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1541 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 37 | [Claude Sonnet 5](https://noometry.com/models/claude-sonnet-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1541 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 38 | [Gemini 3.6 Flash](https://noometry.com/models/gemini-3-6-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1538 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 39 | [Muse Spark 1.2](https://noometry.com/models/muse-spark-1-2) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1533 | muse-spark-1.2 (xHigh) | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 40 | [Claude Sonnet 4.6](https://noometry.com/models/claude-sonnet-4-6) | [Anthropic](https://noometry.com/providers/anthropic) | 1522 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 41 | [GPT-5.6 Terra](https://noometry.com/models/gpt-5-6-terra) | [OpenAI](https://noometry.com/providers/openai) | 1522 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 42 | [GPT-5.6 Luna](https://noometry.com/models/gpt-5-6-luna) | [OpenAI](https://noometry.com/providers/openai) | 1519 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 43 | [Qwen3.7 Max](https://noometry.com/models/qwen3-7-max) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1515 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 44 | [GPT-5.5](https://noometry.com/models/gpt-5-5) | [OpenAI](https://noometry.com/providers/openai) | 1513 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 45 | [Kimi K2.6](https://noometry.com/models/kimi-k2-6) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1509 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 46 | [Hy3](https://noometry.com/models/hy3) |  [![](/logos/tencent.svg) Tencent](https://noometry.com/providers/tencent) | 1508 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 47 | [GLM-5.1](https://noometry.com/models/glm-5-1) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1508 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 48 | [Gemini 3.5 Flash](https://noometry.com/models/gemini-3-5-flash) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1499 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 49 | [Claude Opus 4.5](https://noometry.com/models/claude-opus-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1494 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 50 | [Qwen3.6 Max Preview](https://noometry.com/models/qwen3-6-max-preview) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1482 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 51 | [MiniMax-M3](https://noometry.com/models/minimax-m3) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1482 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 52 | [MiMo-V2.5-Pro](https://noometry.com/models/mimo-v2-5-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1479 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 53 | [Kimi K2.7 Code](https://noometry.com/models/kimi-k2-7-code) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1473 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 54 | [GPT-5.4](https://noometry.com/models/gpt-5-4) | [OpenAI](https://noometry.com/providers/openai) | 1465 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 55 | [Qwen3.6 Plus](https://noometry.com/models/qwen3-6-plus) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1461 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 56 | [Gemini 3.1 Pro Preview](https://noometry.com/models/gemini-3-1-pro-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1447 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 57 | [Gemini 3.5 Flash Lite](https://noometry.com/models/gemini-3-5-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1440 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 58 | [Gemini 3 Pro](https://noometry.com/models/gemini-3-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1440 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 59 | [Gemini 3 Flash Preview](https://noometry.com/models/gemini-3-flash-preview) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1439 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 60 | [MiMo-V2.5](https://noometry.com/models/mimo-v2-5) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1438 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 61 | [Kimi K2.5](https://noometry.com/models/kimi-k2-5) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1437 | thinking | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 62 | [GLM-4.7](https://noometry.com/models/glm-4-7) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1435 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 63 | [GLM-5](https://noometry.com/models/glm-5) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1434 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 64 | [MiMo-V2-Pro](https://noometry.com/models/mimo-v2-pro) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1433 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 65 | [GPT-5](https://noometry.com/models/gpt-5) | [OpenAI](https://noometry.com/providers/openai) | 1418 | medium | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 66 | [GPT-5.2](https://noometry.com/models/gpt-5-2) | [OpenAI](https://noometry.com/providers/openai) | 1416 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 67 | [Inkling](https://noometry.com/models/inkling) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 1413 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 68 | [Inkling-Small](https://noometry.com/models/inkling-small) | [T Thinking Machines Lab](https://noometry.com/providers/thinking-machines) | 1409 | Inkling Small | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 69 | [GPT-5.3 Codex](https://noometry.com/models/gpt-5-3-codex) | [OpenAI](https://noometry.com/providers/openai) | 1409 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 70 | [Kimi K2.5 Instant](https://noometry.com/models/kimi-k2-5-instant) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1404 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 71 | [GLM-5V-Turbo](https://noometry.com/models/glm-5v-turbo) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1401 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 72 | [Qwen3.5 397B-A17B](https://noometry.com/models/qwen3-5-397b-a17b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1400 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 73 | [MiniMax-M2.7](https://noometry.com/models/minimax-m2-7) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1398 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 74 | [GPT-5.4 mini](https://noometry.com/models/gpt-5-4-mini) | [OpenAI](https://noometry.com/providers/openai) | 1397 | high | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 75 | [GPT-5.1](https://noometry.com/models/gpt-5-1) | [OpenAI](https://noometry.com/providers/openai) | 1395 | medium | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 76 | [Claude Sonnet 4.5](https://noometry.com/models/claude-sonnet-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1393 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 77 | [Claude Opus 4.1](https://noometry.com/models/claude-opus-4-1) | [Anthropic](https://noometry.com/providers/anthropic) | 1390 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 78 | [MiniMax-M2.5](https://noometry.com/models/minimax-m2-5) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1387 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 79 | [MiniMax-M2.1](https://noometry.com/models/minimax-m2-1) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1384 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 80 | [Grok 4.20 (Non-Reasoning)](https://noometry.com/models/grok-4-20) | [xAI](https://noometry.com/providers/xai) | 1375 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 81 | [Solar Pro4](https://noometry.com/models/solar-pro4) |  [![](/logos/upstage.svg) Upstage](https://noometry.com/providers/upstage) | 1371 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 82 | [Gemma 4 31B IT](https://noometry.com/models/gemma-4-31b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1366 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 83 | [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) |  [![](/logos/deepseek.svg) DeepSeek](https://noometry.com/providers/deepseek) | 1362 | thinking | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 84 | [Qwen3.5 122B-A10B](https://noometry.com/models/qwen3-5-122b-a10b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1360 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 85 | [Gemma 4 26B A4B IT](https://noometry.com/models/gemma-4-26b-a4b-it) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1359 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 86 | [Qwen3.5 27B](https://noometry.com/models/qwen3-5-27b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1358 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 87 | [Grok 4.3](https://noometry.com/models/grok-4-3) | [xAI](https://noometry.com/providers/xai) | 1357 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 88 | [Muse Glimmer](https://noometry.com/models/muse-glimmer) |  [![](/logos/meta.svg) Meta](https://noometry.com/providers/meta) | 1355 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 89 | [Laguna M.1](https://noometry.com/models/laguna-m-1) |  [![](/logos/poolside.svg) Poolside](https://noometry.com/providers/poolside) | 1349 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 90 | [GLM-4.6](https://noometry.com/models/glm-4-6) | [Z.ai (Zhipu)](https://noometry.com/providers/zai) | 1340 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 91 | [GPT-5.2 Codex](https://noometry.com/models/gpt-5-2-codex) | [OpenAI](https://noometry.com/providers/openai) | 1339 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 92 | [GPT-5.1-Codex](https://noometry.com/models/gpt-5-1-codex) | [OpenAI](https://noometry.com/providers/openai) | 1337 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 93 | [MiMo-V2-Flash](https://noometry.com/models/mimo-v2-flash) | [Xiaomi](https://noometry.com/providers/xiaomi) | 1330 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 94 | [Claude Haiku 4.5](https://noometry.com/models/claude-haiku-4-5) | [Anthropic](https://noometry.com/providers/anthropic) | 1330 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 95 | [Kimi K2 Thinking Turbo](https://noometry.com/models/kimi-k2-thinking-turbo) | [Moonshot AI](https://noometry.com/providers/moonshot) | 1322 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 96 | [Laguna XS.2](https://noometry.com/models/laguna-xs-2) |  [![](/logos/poolside.svg) Poolside](https://noometry.com/providers/poolside) | 1302 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 97 | [MiniMax-M2](https://noometry.com/models/minimax-m2) |  [![](/logos/minimax.svg) MiniMax](https://noometry.com/providers/minimax) | 1297 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 98 | [Qwen3-Coder 480B-A35B Instruct](https://noometry.com/models/qwen3-coder-480b-a35b-instruct) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1275 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 99 | [Mistral Medium 3.5](https://noometry.com/models/mistral-medium-3-5) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1264 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 100 | [Gemini 3.1 Flash Lite](https://noometry.com/models/gemini-3-1-flash-lite) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1256 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 101 | [Qwen3.5 35B-A3B](https://noometry.com/models/qwen3-5-35b-a3b) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1254 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 102 | [GPT-5.1-Codex-mini](https://noometry.com/models/gpt-5-1-codex-mini) | [OpenAI](https://noometry.com/providers/openai) | 1244 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 103 | [Qwen3.5-Flash](https://noometry.com/models/qwen3-5-flash) |  [![](/logos/alibaba.svg) Alibaba (Qwen)](https://noometry.com/providers/alibaba) | 1244 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 104 | [Grok 4.1 Fast](https://noometry.com/models/grok-4-1-fast) | [xAI](https://noometry.com/providers/xai) | 1242 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 105 | [Trinity Large Thinking](https://noometry.com/models/trinity-large-thinking) |  [![](/logos/arcee.svg) Arcee AI](https://noometry.com/providers/arcee) | 1238 | thinking | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 106 | [Mistral Large 3](https://noometry.com/models/mistral-large-3) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1230 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 107 | [Gemini 2.5 Pro](https://noometry.com/models/gemini-2-5-pro) |  [![](/logos/google.svg) Google](https://noometry.com/providers/google) | 1227 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 108 | [Grok 4.1](https://noometry.com/models/grok-4-1) | [xAI](https://noometry.com/providers/xai) | 1214 | thinking | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 109 | [Devstral 2](https://noometry.com/models/devstral-2) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1197 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 110 | [Granite 4.1 8b](https://noometry.com/models/granite-4-1-8b) | [IBM](https://noometry.com/providers/ibm) | 1192 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 111 | [Mercury 2](https://noometry.com/models/mercury-2) | [Inception](https://noometry.com/providers/inception) | 1171 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 112 | [Grok 4 Fast](https://noometry.com/models/grok-4-fast) | [xAI](https://noometry.com/providers/xai) | 1159 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |
| 113 | [Devstral Medium](https://noometry.com/models/devstral-medium) |  [![](/logos/mistral.svg) Mistral AI](https://noometry.com/providers/mistral) | 1076 |  | [LMArena](https://lmarena.ai/leaderboard/webdev) | 2026-10-08 |

## Compare the leaders

-   [Claude Opus 5.5 vs GPT-6 Astra](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-astra)
-   [Claude Opus 5.5 vs Claude Sonnet 5.5](https://noometry.com/compare/claude-opus-5-5-vs-claude-sonnet-5-5)
-   [Claude Opus 5.5 vs GPT-6.1 Sol](https://noometry.com/compare/claude-opus-5-5-vs-gpt-6-1-sol)
-   [Claude Opus 5.5 vs Claude Fable 5.1](https://noometry.com/compare/claude-fable-5-1-vs-claude-opus-5-5)
-   [GPT-6 Astra vs Claude Sonnet 5.5](https://noometry.com/compare/claude-sonnet-5-5-vs-gpt-6-astra)
-   [GPT-6 Astra vs GPT-6.1 Sol](https://noometry.com/compare/gpt-6-1-sol-vs-gpt-6-astra)

## Other coding benchmarks

-   [SWE-bench Verified](https://noometry.com/benchmarks/swe-bench-verified)
-   [DeepSWE](https://noometry.com/benchmarks/deepswe)
-   [FrontierCode](https://noometry.com/benchmarks/frontiercode)
-   [SWE-bench Verified (bash only)](https://noometry.com/benchmarks/swe-bench-bash-only)
-   [Aider Polyglot](https://noometry.com/benchmarks/aider-polyglot)
-   [CursorBench](https://noometry.com/benchmarks/cursorbench)
-   [SWE-bench Multilingual](https://noometry.com/benchmarks/swe-bench-multilingual)
-   [FrontierSWE](https://noometry.com/benchmarks/frontierswe)
-   [SciCode](https://noometry.com/benchmarks/scicode)
-   [GSO](https://noometry.com/benchmarks/gso-bench)
-   [WeirdML](https://noometry.com/benchmarks/weirdml)
-   [LMArena Coding](https://noometry.com/benchmarks/arena-coding)

## Frequently asked questions

### What does LMArena WebDev measure?

Blind votes on web apps built by two anonymous models from the same prompt.

### Which model has the highest LMArena WebDev score?

As of October 2026, Claude Opus 5.5 has the highest published LMArena WebDev score on Noometry at 1813, out of 113 models with results.

### What is the best open-weight model on LMArena WebDev?

Kimi K3 has the highest LMArena WebDev rating among open-weight models at 1654, ranking 11 of 113 overall.

### Cite this page

Noometry. (2026). LMArena WebDev leaderboard. Retrieved October 10, 2026, from https://noometry.com/benchmarks/arena-webdev

Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/benchmarks/arena-webdev.md).
