Live ranking, refreshed every 2 days
Best AI Models for Document Tasks
As of September 13, 2026, the top-ranked model on LMArena's document leaderboard is claude-fable-5 by Anthropic with a score of 1,499, 4 points ahead of claude-opus-4-6-high by Anthropic.
Updated October 14, 2026. Leaderboard data from September 13, 2026.
Ranking: top 10 models
Scores come from blind head-to-head votes on LMArena's document leaderboard. Rank is LMArena's published rank, which accounts for confidence intervals, so several models can share a rank. The top 10 are shown below, and ranks 11 to 40 follow in the expandable list.
| Rank | Model | Lab | Score | Votes | License |
|---|---|---|---|---|---|
| 1 | claude-fable-5 | Anthropic | 1,499 ±8 | 8,497 | Proprietary |
| 2 | claude-opus-4-6-high | Anthropic | 1,495 ±7 | 27,929 | Proprietary |
| 3 | claude-opus-4-7 | Anthropic | 1,494 ±6 | 22,192 | Proprietary |
| 4 | claude-opus-4-6 | Anthropic | 1,494 ±6 | 41,260 | Proprietary |
| 5 | claude-opus-4-7-high | Anthropic | 1,493 ±7 | 21,957 | Proprietary |
| 6 | claude-fable-5.1-max | Anthropic | 1,493 ±15 | 1,403 | Proprietary |
| 7 | claude-opus-5-high | Anthropic | 1,490 ±7 | 8,794 | Proprietary |
| 8 | gpt-5.6-sol-xhigh | OpenAI | 1,489 ±9 | 4,818 | Proprietary |
| 9 | claude-opus-4-8-high | Anthropic | 1,486 ±7 | 11,551 | Proprietary |
| 10 | gpt-5.5 | OpenAI | 1,483 ±6 | 21,279 | Proprietary |
Show ranks 11 to 40
Rank Model Lab Score License 11 gpt-5.5-high OpenAI 1,480 ±7 Proprietary 12 muse-spark-1.1 Meta 1,479 ±9 Proprietary 13 claude-sonnet-4-6 Anthropic 1,478 ±6 Proprietary 14 gpt-5.6-terra-xhigh OpenAI 1,477 ±8 Proprietary 15 claude-sonnet-5-high Anthropic 1,476 ±8 Proprietary 16 claude-opus-4-8 Anthropic 1,475 ±7 Proprietary 17 gpt-6-astra-max OpenAI 1,473 ±14 Proprietary 18 gpt-5.4 OpenAI 1,470 ±6 Proprietary 19 muse-spark-1.3-max Meta 1,468 ±18 Proprietary 20 muse-spark Meta 1,467 ±18 Proprietary 21 claude-opus-4-5-20251101 Anthropic 1,465 ±10 Proprietary 22 grok-4.5 xAI 1,464 ±9 Proprietary 23 gpt-5.6-luna-xhigh OpenAI 1,462 ±8 Proprietary 24 grok-4.6-high xAI 1,461 ±12 Proprietary 25 gemini-3.5-flash-medium Google 1,461 ±8 Proprietary 26 gpt-5.5-instant OpenAI 1,460 ±9 Proprietary 27 gemini-3.1-pro-preview Google 1,459 ±5 Proprietary 28 gemini-3.6-flash-high Google 1,453 ±11 Proprietary 29 gemini-3.5-flash-high Google 1,453 ±9 Proprietary 30 qwen3.7-plus Alibaba (Qwen) 1,453 ±9 Proprietary 31 gemini-3-pro Google 1,451 ±9 Proprietary 32 kimi-k2.6 Moonshot AI 1,450 ±8 Open weights 33 claude-sonnet-4-5-20250929 Anthropic 1,449 ±6 Proprietary 34 gemma-4-31b Google 1,445 ±8 Open weights 35 grok-4.20-beta-0309-reasoning xAI 1,439 ±7 Proprietary 36 gemini-3-flash Google 1,439 ±9 Proprietary 37 kimi-k2.5-thinking Moonshot AI 1,436 ±7 Open weights 38 minimax-m3 MiniMax 1,433 ±8 Open weights 39 gemini-2.5-pro Google 1,431 ±6 Proprietary 40 gpt-5.2 OpenAI 1,425 ±6 Proprietary
Showing the top 40 of 44 models on this leaderboard. Data from September 13, 2026.
Best model by lab
Each lab's highest-ranked model on this leaderboard, and how far it sits from the top.
| Lab | Best model | Rank | Score | Behind #1 |
|---|---|---|---|---|
| Anthropic | claude-fable-5 | 1 | 1,499 | Leader |
| OpenAI | gpt-5.6-sol-xhigh | 8 | 1,489 | 10 pts |
| Meta | muse-spark-1.1 | 12 | 1,479 | 19 pts |
| xAI | grok-4.5 | 22 | 1,464 | 35 pts |
| gemini-3.5-flash-medium | 25 | 1,461 | 38 pts | |
| Alibaba (Qwen) | qwen3.7-plus | 30 | 1,453 | 46 pts |
| Moonshot AI | kimi-k2.6 | 32 | 1,450 | 49 pts |
| MiniMax | minimax-m3 | 38 | 1,433 | 66 pts |
Which AI lab leads?
The lab with the most models at the top of the board is the one with the deepest bench, not only the single best model.
Anthropic holds 8 of the top 10 models (80%).
Models in the top 10 by lab
Show data table
| Lab | Top 10 |
|---|---|
| Anthropic | 8 |
| OpenAI | 2 |
Open vs proprietary: how big is the gap?
The best open-weight model is kimi-k2.6 by Moonshot AI at 1,450, 49 points behind the best proprietary model, claude-fable-5 by Anthropic at 1,499. Their 95% confidence intervals do not overlap, so the gap is statistically meaningful.
31 proprietary models rank above the best open-weight model, and 0 of the top 20 are open-weight.
Open-weight here means any license other than Proprietary, including licenses with usage limits. It is a broader definition than the OSI one.
Other leaderboards
LMArena runs separate arenas for different jobs. The best model for one is often not the best for another.
Other arenas
- Text (overall)
- WebDev: claude-opus-5.5-max by Anthropic, 1,813
- Vision: claude-fable-5-high by Anthropic, 1,308
- Search: gpt-5.6-sol-xhigh by OpenAI, 1,256
- Text to image: gpt-image-2.5-sunburst by OpenAI, 1,425
- Image editing: gpt-image-2.5-sunburst by OpenAI, 1,524
- Text to video: gemini-omni-1.1-flash by Google, 1,516
Text arena by category
How to read this leaderboard
The document arena tests models on prompts that include an uploaded document, such as summarizing, extracting or answering questions about it.
- Scores come from blind votes
- LMArena shows a person two anonymous answers to the same prompt and asks which is better. Those head-to-head votes are fitted with a Bradley-Terry model, the statistical successor to Elo, to give each model one arena score. On the Elo scale LMArena uses, a 100-point lead means the higher model is expected to win about 64% of matchups.
- Confidence intervals decide ties
- Every score carries a 95% confidence interval. When two intervals overlap, the order of those two models is not settled. LMArena's rank column already accounts for this, which is why more than one model can hold the same rank.
- Why it differs from usage share
- A high rank does not mean many people use a model. Usage depends on price, distribution and habit. For adoption rather than quality, see AI market share.
Methodology and source
All rankings are read from the LMArena leaderboard dataset on Hugging Face, published by LMArena (formerly Chatbot Arena) under the Creative Commons Attribution 4.0 license. Credit for the underlying votes, scores and confidence intervals belongs to LMArena. Essentras is not affiliated with LMArena.
This page reads the document_style_control subset, category overall, from the dataset's latest split. Scores, intervals, ranks, vote counts and license labels are shown as published. Essentras adds the grouping by lab and the derived figures on this page: gaps, lab shares, open vs proprietary and, on the main page, the history of who held #1.
Data refreshes automatically every 2 days. If the source cannot be reached, the page falls back to the last saved copy and says so at the top. Models are never merged or renamed; model and lab names appear exactly as LMArena publishes them.
Open-weight means any license other than Proprietary. History is limited to what the dataset records: the style-controlled text leaderboard from August 28, 2024. We do not scrape any other ranking site.
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Frequently asked questions
What is the best AI model for document work?
As of September 13, 2026, claude-fable-5 by Anthropic ranks first on LMArena's document leaderboard with a score of 1,499. Rankings move as models and votes are added, so check the table above for the current order.
Which AI lab leads for document work?
Anthropic holds 8 of the top 10 models (80%), ahead of OpenAI (2).
Is the best open-source model close to the best proprietary model?
The best open-weight model is kimi-k2.6 by Moonshot AI at 1,450, 49 points behind the best proprietary model, claude-fable-5 by Anthropic at 1,499. 31 proprietary models rank above the best open-weight model, and 0 of the top 20 are open-weight. Their 95% confidence intervals do not overlap, so the gap is statistically meaningful. "Open" here means any license other than Proprietary, which is broader than the OSI definition.
What does this leaderboard measure?
The document arena tests models on prompts that include an uploaded document, such as summarizing, extracting or answering questions about it.
How often does this leaderboard update?
This page re-reads LMArena's dataset every 2 days. LMArena publishes a new snapshot when it has gathered enough votes or added models, so the date at the top shows the latest published data.
Models rank themselves. What do they say about you?
A leaderboard shows which AI models are strongest. It does not show what those models tell your customers about your company. Run the free check and see the answers.