---
title: "Documents · style controlled: model rankings and source evidence · Undominated.ai"
canonical: https://undominated.ai/rankings/arena-document-style-control/
description: "Documents · style controlled ranked by Arena score. Inspect exact model variants, source dates, measurement limits and downloadable evidence."
---

# Documents · style controlled: model rankings and source evidence · Undominated.ai

> Documents · style controlled ranked by Arena score. Inspect exact model variants, source dates, measurement limits and downloadable evidence.

[All rankings](/rankings/) / Search and documents

# Documents · style controlled

Human preference ratings for the overall category of this Arena task. Scores from different boards are not interchangeable.

**44 entries** · Arena score · Higher is better

Source publication: 2026-09-13. Retrieved 2026-11-05.

Source: [Arena (lmarena-ai)](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) · [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/).

Ranks use confidence bounds. Several models can share a rank; the rows within a shared rank are displayed by score.

Documents · style controlled · Arena score

| Significance rank | Model / evaluated variant | Arena score | 95% confidence interval | Votes |
| --- | --- | --- | --- | --- |
| 1 | claude-fable-5 anthropic | 1,498.88 | 1,490.93 – 1,506.82 | 8,497 |
| 1 | claude-opus-4-6-high anthropic | 1,495.26 | 1,488.75 – 1,501.76 | 27,929 |
| 1 | claude-opus-4-7 anthropic | 1,494.19 | 1,487.81 – 1,500.57 | 22,192 |
| 1 | claude-opus-4-6 anthropic | 1,493.94 | 1,487.99 – 1,499.89 | 41,260 |
| 1 | claude-opus-4-7-high anthropic | 1,493.04 | 1,486.48 – 1,499.59 | 21,957 |
| 1 | claude-fable-5.1-max anthropic | 1,492.83 | 1,477.55 – 1,508.11 | 1,403 |
| 1 | claude-opus-5-high anthropic | 1,489.75 | 1,482.58 – 1,496.92 | 8,794 |
| 1 | gpt-5.6-sol-xhigh openai | 1,488.67 | 1,479.77 – 1,497.57 | 4,818 |
| 1 | claude-opus-4-8-high anthropic | 1,485.93 | 1,478.98 – 1,492.89 | 11,551 |
| 2 | gpt-5.5 openai | 1,482.81 | 1,476.45 – 1,489.17 | 21,279 |
| 5 | gpt-5.5-high openai | 1,480.24 | 1,473.74 – 1,486.75 | 20,944 |
| 3 | muse-spark-1.1 meta | 1,479.46 | 1,470.51 – 1,488.41 | 4,885 |
| 6 | claude-sonnet-4-6 anthropic | 1,477.73 | 1,471.78 – 1,483.68 | 57,813 |
| 6 | gpt-5.6-terra-xhigh openai | 1,476.65 | 1,468.33 – 1,484.98 | 5,787 |
| 6 | claude-sonnet-5-high anthropic | 1,475.7 | 1,468.03 – 1,483.36 | 7,411 |
| 7 | claude-opus-4-8 anthropic | 1,475.38 | 1,468.33 – 1,482.43 | 12,128 |
| 5 | gpt-6-astra-max openai | 1,472.56 | 1,458.27 – 1,486.85 | 1,621 |
| 11 | gpt-5.4 openai | 1,470.09 | 1,463.82 – 1,476.36 | 33,331 |
| 6 | muse-spark-1.3-max meta | 1,467.89 | 1,449.55 – 1,486.22 | 1,006 |
| 6 | muse-spark meta | 1,467.29 | 1,448.93 – 1,485.66 | 1,084 |
| 11 | claude-opus-4-5-20251101 anthropic | 1,464.61 | 1,454.23 – 1,474.99 | 7,981 |
| 12 | grok-4.5 xai | 1,464.35 | 1,455.55 – 1,473.14 | 4,965 |
| 14 | gpt-5.6-luna-xhigh openai | 1,461.98 | 1,453.6 – 1,470.37 | 5,766 |
| 12 | grok-4.6-high xai | 1,461.07 | 1,449.01 – 1,473.14 | 2,258 |
| 14 | gemini-3.5-flash-medium google | 1,460.56 | 1,452.63 – 1,468.49 | 6,500 |
| 14 | gpt-5.5-instant openai | 1,460.32 | 1,451.51 – 1,469.13 | 8,497 |
| 17 | gemini-3.1-pro-preview google | 1,458.86 | 1,453.56 – 1,464.17 | 49,457 |
| 17 | gemini-3.6-flash-high google | 1,453.42 | 1,442.51 – 1,464.33 | 2,975 |
| 18 | gemini-3.5-flash-high google | 1,453.4 | 1,444.04 – 1,462.75 | 4,061 |
| 18 | qwen3.7-plus alibaba | 1,452.54 | 1,443.46 – 1,461.63 | 4,591 |
| 18 | gemini-3-pro google | 1,451.09 | 1,442.13 – 1,460.05 | 10,769 |
| 19 | kimi-k2.6 moonshot | 1,449.8 | 1,442.07 – 1,457.53 | 11,291 |
| 20 | claude-sonnet-4-5-20250929 anthropic | 1,449.08 | 1,442.85 – 1,455.3 | 31,455 |
| 24 | gemma-4-31b google | 1,444.51 | 1,436.65 – 1,452.36 | 12,326 |
| 28 | grok-4.20-beta-0309-reasoning xai | 1,439.43 | 1,432.33 – 1,446.53 | 20,948 |
| 28 | gemini-3-flash google | 1,439.15 | 1,429.78 – 1,448.52 | 7,158 |
| 31 | kimi-k2.5-thinking moonshot | 1,435.96 | 1,429.15 – 1,442.78 | 21,569 |
| 34 | minimax-m3 minimax | 1,432.96 | 1,424.64 – 1,441.29 | 6,314 |
| 34 | gemini-2.5-pro google | 1,430.58 | 1,424.21 – 1,436.95 | 25,110 |
| 36 | gpt-5.2 openai | 1,425.37 | 1,419.38 – 1,431.35 | 28,212 |
| 35 | gpt-5.2-high openai | 1,423.16 | 1,413.69 – 1,432.64 | 7,108 |
| 38 | claude-haiku-4-5-20251001 anthropic | 1,418.73 | 1,412.76 – 1,424.7 | 34,677 |
| 38 | gpt-5.1 openai | 1,415.84 | 1,406.54 – 1,425.14 | 8,244 |
| 43 | glm-5v-turbo zai | 1,400.07 | 1,391.66 – 1,408.47 | 6,995 |

## What this ranking can tell you

 - The population is the models in this source board, including variants and models without an available API price.
- Ranks use the published confidence bounds: one plus the number of models whose lower bound exceeds this model’s upper bound. Shared ranks are not proof of equal performance.

## Check the source

The original evidence is retained byte for byte. The downloadable board includes the source URLs, revision and SHA-256 hashes.

[Download this board and provenance →](/data/rankings/arena-document-style-control.json)

 Source files and licences - [metadata · a7a159f557a1](/data/rankings/evidence/a7a159f557a1e594a5d41218fe8d53c63c63daa39b655e51d6fc5b482a17d059.json) · [upstream source ↗](https://huggingface.co/api/datasets/lmarena-ai/leaderboard-dataset)
- [licence · 88a46d472f35](/data/rankings/evidence/88a46d472f35274fb6b7a852c3d16c8ee8007d51b37f290161537bec26895ee4.txt) · [upstream source ↗](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset/raw/8b6deb69ace01ee8dcda9e46eba7a5e8a808ec53/README.md)
- [rows · c3e72313c043](/data/rankings/evidence/c3e72313c0436cb60e3619ad805805f55b333fab36047355a81d6e3e624502c1.parquet) · [upstream source ↗](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset/resolve/8b6deb69ace01ee8dcda9e46eba7a5e8a808ec53/document_style_control/latest-00000-of-00001.parquet)

[Explore other model types →](/rankings/)[Read the benchmark guide →](/benchmarks/)

## Continue your investigation

 - [Understand the measurements](/benchmarks/)
- [Compare task performance](/best/)
- [Compare embedding models](/embeddings/)
- [Inspect ranking rules](/methodology/)