AI leaderboard · Conversations

Best AI for long conversations: 415 models ranked by blind votes

Conversations of more than one turn, where the model has to keep track of what came before. Ranked by LMArena’s blind votes, every score with its margin of error and, beside it, the list price of each model on our price list.

Scores from LMArena, published 20 October 2026, under CC BY 4.0. Prices from each maker’s pricing page, read on 15 October 2026.

Top score
1552Gemini 4 Argon (High) from Google
Models ranked
415
Level with the leader
3
On our price list
1
Published
20 October 2026

Level: the votes cannot separate it from the leader.

On LMArena’s Conversations board, Gemini 4 Argon (High) from Google leads with 1552 points from 677 blind votes, published 20 October 2026. 2 other models are statistically level with it. None of the models it ranks has an API price on our list yet.

Best AI for long conversations

Conversations of more than one turn, where the model has to keep track of what came before.

LMArena scores of 51 AI models, with their 95% intervals, votes and list prices
#ModelScoreVotesPer 1M tokens, in / out
1Gemini 4 Argon (High)Google155295% interval 1529 to 1576677·
1Muse Wonder (Max)Meta152295% interval 1499 to 1544724·
1Muse Spark 1.2 (xHigh)Meta151495% interval 1498 to 15311,393·
2Claude Fable 5 (High)Anthropic151795% interval 1509 to 15257,046·
2Claude Opus 4.7 (High)Anthropic151695% interval 1509 to 152311,427·
2Claude Opus 4.6 (High)Anthropic151695% interval 1510 to 152214,017·
2Claude Opus 4.7Anthropic151495% interval 1507 to 152111,704·
2Claude Opus 4.6Anthropic151095% interval 1505 to 151615,259·
2Gemini 3.8 Flash (High)Google150495% interval 1496 to 15136,188·
2Kimi K3 (Max)Moonshot AI · open weights150195% interval 1492 to 15105,244·
2Claude Opus 5.5 (High)Anthropic150195% interval 1483 to 15181,269·
6Muse SparkMeta149395% interval 1480 to 15062,280·
6Qwen3.7-Max-PreviewAlibaba148295% interval 1459 to 1505700·
7Claude Opus 4.8 (High)Anthropic149795% interval 1490 to 150411,184·
7Gemini 3.1 Pro PreviewGoogle149695% interval 1491 to 150121,947·
7Gemini 3 ProGoogle149695% interval 1488 to 15046,856·
7Muse Spark 1.1Meta149695% interval 1488 to 15046,815·
7GPT-5.2 Chat (20260210)OpenAI149595% interval 1487 to 15036,804·
7Claude Opus 4.8Anthropic149495% interval 1488 to 150111,394·
7GPT-5.4 (High)OpenAI149395% interval 1486 to 150011,981·
7Qwen3.8-MaxAlibaba149295% interval 1483 to 15024,441·
7Muse Spark 1.3 (Max)Meta149295% interval 1480 to 15032,885·
7Claude Fable 5.1 (Max)Anthropic148795% interval 1473 to 15002,065·
8GPT-5.6 Sol (xHigh)OpenAI149095% interval 1482 to 14986,832·
8Gemini 3.7 Flash (High)Google148895% interval 1479 to 14984,434·

Where the ranking comes from

The scores, intervals and ranks are LMArena’s. The prices are ours.

Blind votes
LMArena puts the same prompt to two anonymous models and asks the person who wrote it to pick the better answer. The votes place every model on one scale, where a gap of 100 points means the higher model wins about 64 times in 100.
Style control
The scores discount answer length and formatting, so a model does not climb by writing more or by adding headings and lists.
Shared ranks
A model’s rank is one plus the number of models whose whole 95% interval sits above its own. Models the votes cannot separate share a rank, which is why several can be first.
Settings
A model can appear more than once, at different reasoning settings: the line under its name gives the entry as LMArena lists it. Entries with web search switched on are a different product and carry no price.
Prices
The list price per million tokens from the maker’s own pricing page, read on 15 October 2026. It is a price per token, not per answer: a higher reasoning setting spends more tokens on the same question.

Source: LMArena, leaderboard dataset (revision 9041150e, published 20 October 2026), licensed under CC BY 4.0. We change no score: we add the prices and the links to our model pages.

What each of them costs to run

The price list works three everyday jobs on every model, and our own benchmark runs them on real business tasks to see which pass.

Scores published 20 October 2026