Best LLMs for Writing in 2026 based on Leaderboards

AI can fill your blank page, but better pick the right large-language model (LLM).

Here, we give you the best LLM for writers based on a stylistic leaderboard and the Chatbot Arena leaderbaoard.

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How We Ranked the LLM Models

To find the best LLM models for writing, we used two leaderboards the Chatbot Arena, and our own stylistic leaderboard.

Chatbot Arena is a crowdsourced leaderboard run by LMSYS. It compares large language models based on blind user preferences across many tasks—including creative writing.

We use both the Creative Writing leaderboard and the broader text ranking. The creative board shows which outputs readers prefer as writing.

Then, there’s our stylistic benchmark that you can check out here.

In this leaderboard, each LLM model output are assessed through 8 writing tasks and 6 lexical, grammatical and stylistic metrics drawn from the stylometric academic litterature :

• Sentence rhythm: assesses the standard deviation of sentence length divided by mean sentence length.
• GPT-2 Perplexity Proximity: compares the text with DistilGPT-2’s expected token choices and probability profile.
• Syntax diversity: analyzes the usage and distribution of grammatical elements (nouns, verbs, adverbs, adjectives, determiners etc…) and the variation of their combination.
• Prose heaviness: counts nominalizations, reduced participial clauses, subject-that constructions, and phrasal coordination per 1,000 words.
• Personal tone: counts personal pronouns, private-state verbs, hedges, and direct questions as a percentage of words.
• Section variation: compares opening, middle, and ending thirds using sentence length, rhythm, function-word rate, and modifier rate.

I found that these metrics discriminate the best between human and LLM writing. And so are a perfect fit to assess a LLM model’s prose “humaness”.

1. Claude (Fable 5,1, Opus 5, Opus 4,8, Opus 4,7, Opus 4,6)

If I had to put one LLM family at the top for writing right now, I would still pick Claude.

The reason is simple. Claude still has the most life in the sentence. It is better than most models at keeping a voice stable, writing dialogue that sounds intentional, and carrying emotional tone across a full piece instead of just a paragraph.

Claude is not always the most rigid or procedural writer. For strict how-to content, technical walkthroughs, or very factual SEO sections, other models can still feel more exact. But that is also the tradeoff that makes Claude so useful. It usually gives you stronger rhythm, more natural phrasing, and less of that flat “AI explainer” feel.

The stylistic benchmark supports keeping Claude first. Claude Fable 5,1 scored the best across all eight writing tests, and four Claude variants appeared within the benchmark’s first seven LLM positions.

In the current Chatbot Arena Creative writing snapshot, Claude models often rank the highest like Claude Fable 5,1, Opus 5 and Opus 4,7.

Technical specs

Anthropic lists Claude Fable 5,1 with a 1-million-token context window.

Fable 5,1 is available through the Claude API as well as Anthropic’s consumer and enterprise ecosystem. Anthropic also supports deployment through major cloud platforms.

Claude Opus 5 is the more practical premium option for everyday professional work. Anthropic describes it as approaching Fable 5’s frontier capabilities at half the API price, and it is currently the default model on Claude Max and the strongest model included with Claude Pro.

Price

Claude is not the cheapest writing option in this ranking.

• Fable 5,1 costs $10 per million input tokens and $50 per million output tokens. Anthropic also offers a 90% input-token discount for prompt caching, which can matter if you repeatedly reuse the same style guide, research pack, or brand documentation.
• Opus 5 costs $5 per million input tokens and $25 per million output tokens.

2. Meta (Muse 1,2, 1,1)

Muse Spark is the latest emerging model family from Meta. And the models are suprisingly good for writing.

Muse’s writing is especially very light. There are fewer heavy participial constructions, punctuation is varied, and the writing generally avoids stacking too many abstract nouns together.

It is very interesting for fiction and creative writing.

Leaderboard

On Arena’s overall Text leaderboard, Muse Spark 1.2 xHigh currently ranks #4, directly behind three Claude variants and ahead of many Gemini, ChatGPT, Kimi, and Grok models.

That is an impressive result for a relatively new model family.

Other writing evaluations are favorable too. EQ-Bench reports a Creative Writing v3 score of 1835.4 for Muse Spark 1.2.

On the stylistic benchmark, it even ranks 1st, showing that it produces a minimal amount of AI slop.

Technical specs

Muse Spark 1.2 is a proprietary, API-hosted model rather than an open-weight model you can download and run locally.

Current provider data lists a context window of approximately 1,048,576 tokens, giving you enough room for full manuscripts, research files, transcripts, style guides, and large reference libraries within one writing workflow.

Price

Muse Spark 1.2 is also considerably cheaper than Claude’s flagship models.

Current standard API pricing is:

• $1.25 per 1M input tokens
• $4.25 per 1M output tokens
• roughly $0.15 per 1M cached input tokens.

3. Kimi (K3, K2)

The Kimi Chinese LLM family starts to get a good reputation in terms of writing.

Kimi K3 especially gets a lot right.

Its main strength is formal writing without the usual formal heaviness.

Ask many LLMs for an academic essay and they immediately start accumulating abstract nouns: “economic sustainability,” “administrative feasibility,” “effective communication,” “social transformation.”

I would particularly test Kimi K3 for:

• academic essays;
• research-driven articles;
• factual nonfiction;
• technical explainers;
• structured arguments;
• long-form reports.

It is better at surrounding technical ideas with actual actions, explanations, and judgments. It’s still a strong model for any task of writing.

Leaderboard

On Arena’s overall Text leaderboard, updated August 27, 2026, Kimi K3 Max ranks #10 across all models.

More interestingly, when you filter Arena to models available under open-source or source-available licenses, Kimi K3 Max ranks #1 overall with a score of 1489.

Creative writing is weaker.

Kimi K3 Max sits around #23 overall in Arena Creative Writing, with a score of 1458. Among the open-source-filtered models, however, it ranks #2, directly behind GLM 5.3 Max.

On the stylistic benchmark, it ranks 3d.

Technical specs

Kimi K3 was released by Moonshot AI in July 2026.

It is a 2.8-trillion-parameter model with native vision support and a 1-million-token context window. Moonshot positions it for long-horizon reasoning, coding, and knowledge work.

For writers, the 1M context window is particularly useful.

Price

Kimi K3 is cheaper than Claude’s flagship models, although it isn’t the cheapest model in this ranking.

The official Kimi API currently costs:

• $0.30 per 1M cached input tokens
• $3 per 1M uncached input tokens
• $15 per 1M output tokens.

4. ChatGPT (6 Astra, 5,5, GPT-5,6 Sol)

OpenAI has a complicated history with prose.

The newer models are noticeably better.

In our benchmark, the improvement becomes particularly clear from GPT-5.5 onward. There is less AI wording, fewer heavy grammatical constructions, and more verbs and adjectives instead of endless conceptual nouns.

Its biggest strength is still structure.

Give ChatGPT a complicated brief with research, multiple sections, formatting instructions, and several points that need to be covered, and it usually keeps everything under control.

Search and tool use make it even more useful for this kind of workflow.

But ChatGPT still has a recognizable stylistic weakness.

The heaviness has decreased.

The repetition has not disappeared.

Leaderboard

The current leaderboards show how much ChatGPT has improved.

As of August 27, 2026, GPT-5.6 Sol xHigh ranks #9 on Arena’s Creative Writing leaderboard, with a score of 1477. That puts it inside the top ten, although it remains behind Claude Fable 5, several Claude Opus variants, and the strongest Gemini models.

ChatGPT performs even better when the category becomes broader.

On Arena’s Writing, Literature & Language leaderboard, GPT-5.6 Sol xHigh currently ranks #7, with a score of 1484.

Technical specs

GPT-5.6 Sol supports a 1,050,000-token context window and up to 128,000 output tokens.

Price

GPT-5.6 Sol currently costs:

• $4 per 1M input tokens
• $0.40 per 1M cached input tokens
• $20 per 1M output tokens.

5. Gemini (3.7 Flash / 3.1 Pro)

Gemini is a difficult model family to rank.

Its writing is not as consistently natural as Claude’s. It does not have Muse Spark’s creative unpredictability. And for formal factual writing, Kimi and the latest ChatGPT models can be easier to trust.

But Gemini has one very practical strength:

It is good at writing for ordinary readers.

That becomes particularly obvious in SEO and marketing content.

Leaderboard

On Arena’s Writing, Literature & Language leaderboard, updated August 27, 2026, Gemini 3.7 Flash High ranks #5, directly behind several Claude models and ahead of GPT-5.6 Sol xHigh.

Gemini 3 Pro ranks #10, Gemini 3.1 Pro #11, and Gemini 3.6 Flash High #12.

There, Gemini 3.7 Flash High ranks #7, Gemini 3.1 Pro #8, and Gemini 3 Pro #10.

In the stylistic benchmark, the latest Gemini 3.6 Flash scored 542.3 across all eight tests, clearly ahead of Gemini 3.1 Pro at 53.3 and Gemini 2.5 Pro at 60.9.

Technical specs

The current model to watch is Gemini 3.7 Flash, released in August 2026.

It supports a 1,048,576-token input context window and up to 65,536 output tokens.

Price

Gemini’s price is one of its strongest advantages.

Through December 31, 2026, Gemini 3.7 Flash costs:

• $0.75 per 1M input tokens
• $3.75 per 1M output tokens
• $0.075 per 1M cached input tokens.

6. Grok (4.6, 4,5)

Grok 4.6 remains as a distinctive LLMs for writing. It has more edge than most frontier models, reaches for less obvious references, and is less afraid of sounding opinionated.

That makes it especially interesting for essays, op-eds, founder-led content, and any piece where you want a sharper point of view instead of a neutral explainer. Claude is still more graceful and Gemini is more controlled, but Grok can produce the line or angle that the safer models avoid.

Technical specs

The current Grok 4.6 model supports a 1,000,000-token context window.

That is enough for long transcripts, source collections, books, research documents, and large style guides within the same writing workflow.

Leaderboard

The benchmark puts that personality into context. Grok 4.6 scored 58.0 across all eight tasks. Its sentence rhythm and low GPT-2 proximity were relatively strong, but heavier prose, weaker syntax diversity, and limited section variation made the output look more model-like overall

In the current Chatbot Arena, Grok-4.6 is ranked 19 th in creative writing ranking.

Price

Grok is one of the cheaper proprietary frontier models in this ranking.

Current xAI API pricing for Grok 4.6 is:

• $1.25 per 1M input tokens
• $0.20 per 1M cached input tokens
• $2.50 per 1M output tokens.

7. GLM (5.3, 5,2)

GLM is the kind of model family that is easy to overlook if you only use Claude, ChatGPT, and Gemini.

That would be a mistake.

The latest GLM models have become surprisingly competitive, and their writing has a particular strength: the prose can stay relatively light without becoming simplistic.

Leaderboard

On Arena’s open-source Creative Writing leaderboard, updated August 27, 2026, GLM 5.3 Max ranks #1, with a score of 1467.

Its performance is not limited to creative writing.

On Arena’s broader open-source Text leaderboard, GLM 5.3 Max ranks #2, directly behind Kimi K3 Max. GLM 5.3 Flash also reaches #4 despite being the cheaper model.

Technical specs

The model I would watch most closely is GLM 5.3 Max.

Arena currently lists it with a 1-million-token context window, which puts it in the same general long-context class as Claude, Gemini, Kimi K3, and several other 2026 frontier models.

Z.ai released GLM 5.3 on August 14, 2026. The model builds on GLM 5.2’s base architecture, with the improvements coming from scaled post-training rather than a completely new foundation model.

There is also GLM 5.3 Flash, which is more attractive if speed and generation cost matter.

Price

GLM is also competitively priced.

• $1.40 per 1M input tokens
• $4.40 per 1M output tokens.

That is considerably cheaper than flagship Claude and ChatGPT models.

GLM 5.3 Flash goes much further.

Its standard API pricing is approximately:

• $0.15 per 1M input tokens
• $0.03 per 1M cached input tokens
• $0.50 per 1M output tokens.

8. DeepSeek (V4 / V3 / R1)

DeepSeek is a competent generalist that can produce relatively clean factual prose at a very low cost.

That becomes particularly useful for research papers, technical articles, structured nonfiction, and large-scale content workflows.

Leaderboard

DeepSeek’s current leaderboard position reflects that solid-but-not-leading profile.

On Arena’s open-source Creative Writing leaderboard, updated August 27, 2026, DeepSeek V4 Pro ranks #6, with a score of 1444.

A higher-reasoning DeepSeek V4 Pro variant follows at #7.

That puts DeepSeek behind newer alternatives such as GLM 5.3 Max, Kimi K3 Max, and GLM 5.2 Max.

Technical specs

The current DeepSeek V4 Pro supports a 1-million-token context window and up to 384,000 output tokens.

It supports both thinking and non-thinking modes, allowing you to use additional reasoning for difficult research or argumentation without requiring it for every straightforward writing task.

DeepSeek’s API also supports:

• JSON output;
• tool calling;
• Anthropic-compatible API requests;
• prefix completion;
• fill-in-the-middle completion.

Price

Price is where DeepSeek becomes difficult to ignore.

DeepSeek’s official API documentation currently lists V4 Pro at:

• $0.435 per 1M input tokens on a cache miss
• $0.003625 per 1M cached input tokens
• $0.87 per 1M output tokens.

V4 Flash is even cheaper:

• $0.14 per 1M uncached input tokens
• $0.0028 per 1M cached input tokens
• $0.28 per 1M output tokens.

9. Muse 1.5 (Sudowrite)

Writing quality

Muse is the only LLM in this ranking purpose-built for fiction. Sudowrite’s narrative workflow helps it plan, revise, and stay close to the brief, so longer scenes and chapters tend to meander less than they can with general-purpose models.

Its strongest qualities are voice, dialogue, scene movement, and the willingness to write darker or more adult genres. The tradeoff is specialization: it is exclusive to Sudowrite, internal consistency can still fall behind Claude on intricate lore, and Gemini or ChatGPT remain better choices for factual, technical, or SEO-heavy work.

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Technical specs

• Context window (input). Sudowrite doesn’t publish a token count for Muse. Practically, you work at the scene/chapter level inside Sudowrite’s Draft/Write tools, with streaming output and tools (Expand, Rewrite) that keep the active context focused. If you need hard token limits, Muse isn’t marketed that way; it’s positioned as a fiction workflow rather than a general API model.
• Output window. Generations stream and can be extended (“continue”) inside Draft/Write. Muse 1.5 specifically advertises longer scenes and tighter instruction following compared with earlier builds.
• Private/local. No self-hosting. Muse is exclusive to Sudowrite (web app). Sudowrite states your work isn’t used to train Muse and emphasizes an ethically consented fiction dataset. If your priority is author-friendly data promises inside a hosted tool, this is the draw.
• Filters and tone. Muse is marketed as “most unfiltered” on Sudowrite (can handle adult themes/violence) and as actively de-cliché’d during training. Good to know if you write darker genres—and equally important if you need to keep drafts brand-safe.

Pricing

Sudowrite sells access to Muse via credit-based subscriptions (browser app). Tiers (monthly billing shown on the live pricing page):

• Hobby & Student — $10/mo for ~225,000 credits/month.
• Professional — $22/mo (page shows 450,000 and 1,000,000 credits copy; treat 1,000,000/month as the current headline included amount on the page).
• Max — $44/mo for ~2,000,000 credits/month with 12-month rollover of unused credits.
  All tiers include the Sudowrite app; Muse is selectable as the default model in Draft/Write. Always confirm the current inclusions and yearly discounts on the pricing page before budgeting.