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AI model rankings: who's #1 right now

The leaderboard people actually cite, the price of each model, and this month's launches, on one page that updates itself.

As of October 15, 2026, Gemini 4 Argon (high) from Google leads LMArena's text leaderboard, with Muse Wonder (max) and Claude Opus 5.5 (high) close behind.

Among the name-brand models, GPT-6 Luna is the cheapest to run at $0.50 per million output tokens and Claude Fable 5.1 the most expensive at $50.00.

The top of the table is usually a statistical tie: when two models' margins overlap, the votes cannot separate them.

The leaderboard

LMArena's text leaderboard: people chat with two unnamed models side by side and vote for the better answer. One row per model; reasoning tiers collapsed to the best one.

#ModelMakerScoreVotes
1 Gemini 4 Argon (high) Google 1,524 ±9 4,904
2 Muse Wonder (max) Meta 1,509 ±11 3,247
3 Claude Opus 5.5 (high) Anthropic 1,508 ±7 8,300
4 Claude Fable 5 (high) Anthropic 1,504 ±5 42,004
5 Claude Opus 4.6 (high) Anthropic 1,503 ±3 81,394
6 Claude Fable 5.1 (max) Anthropic 1,502 ±6 14,590
7 Claude Opus 4.7 (high) Anthropic 1,501 ±4 65,116
8 Gemini 3.8 Flash (high) Google 1,496 ±5 37,454
9 Muse Spark 1.3 (max) Meta 1,494 ±6 17,561
10 Muse Spark 1.2 (xhigh) Meta 1,493 ±7 8,248
11 Muse Spark 1.1 Meta 1,490 ±4 42,810
12 Claude Opus 5 (max) Anthropic 1,490 ±5 32,495
13 Muse Spark Meta 1,489 ±6 14,150
14 Gemini 3.7 Flash (high) Google 1,488 ±5 27,232
15 Kimi K3 (max)Open weights Moonshot 1,487 ±5 32,795
16 Gemini 3.1 Pro Preview Google 1,487 ±3 127,649
17 Gemini 3 Pro Google 1,485 ±4 42,072
18 GPT-5.6 Sol (xhigh) OpenAI 1,485 ±5 40,442
19 GPT-6.1 Sol (max) OpenAI 1,484 ±8 6,320
20 Gemini 3.6 Flash (high) Google 1,483 ±5 36,122
21 Qwen3.8 (max) Alibaba 1,482 ±5 27,766
22 Claude Opus 4.8 (high) Anthropic 1,481 ±4 64,100
23 GPT-5.5 (high) OpenAI 1,481 ±4 69,401
24 Mimo V2.6 ProOpen weights Xiaomi 1,479 ±10 4,075
25 GLM 5.3 (max)Open weights Z.ai 1,479 ±6 22,543

Just launched, not ranked yet

  • Claude Haiku 5.5 Anthropic · released Oct 7

Arena ranks a new model once enough people have voted on it in blind matchups, so the newest flagships wait here until then.

LMArena text leaderboard, published October 15, 2026. Score is the arena rating with its 95% margin; rows whose margins overlap are a statistical tie.

Best open-weight models

The same LMArena votes, only models whose weights you can download and run yourself. The grey number is where each one sits on the overall board.

#ModelMakerScoreVotes
1 Kimi K3 (max)#18 overall Moonshot 1,487 ±5 32,795
2 Mimo V2.6 Pro#27 overall Xiaomi 1,479 ±10 4,075
3 GLM 5.3 (max)#28 overall Z.ai 1,479 ±6 22,543
4 GLM 5.2 (max)#32 overall Z.ai 1,476 ±4 49,820
5 DeepSeek V4.1 Flash (max)#38 overall DeepSeek 1,475 ±7 12,793
6 GLM 5.3 Flash#41 overall Z.ai 1,474 ±5 32,925
7 Mimo V2.5 Pro#49 overall Xiaomi 1,467 ±4 75,721
8 GLM 5.1#54 overall Z.ai 1,465 ±4 62,889
9 DeepSeek V4 Pro High 20260813#56 overall DeepSeek 1,465 ±7 9,800
10 Kimi K2.6#59 overall Moonshot 1,461 ±5 40,013
11 DeepSeek V4 Pro#64 overall DeepSeek 1,458 ±4 57,594
12 GLM 5#65 overall Z.ai 1,457 ±5 29,272
13 DeepSeek V4 Pro High Preview#71 overall DeepSeek 1,455 ±4 54,902
14 Hy3#74 overall Tencent 1,453 ±6 12,208
15 Gemma 4 31b#76 overall Google 1,452 ±8 6,147

LMArena text leaderboard, published October 15, 2026. Score is the arena rating with its 95% margin; rows whose margins overlap are a statistical tie.

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What each model costs

List price per million tokens for the current model in each family, cheapest first. A million tokens is roughly 750,000 words of text in, or out.

ModelMakerInputOutput$1 buysContext
GLM 5.3 Flash Z.ai $0.032 $0.90 ≈833.3K words 1M
GLM 5.3 Z.ai $0.079 $4.80 ≈156.3K words 1M
GPT-6 Luna OpenAI $0.10 $0.50 ≈1.5M words 1.1M
Claude Haiku 5.5 Anthropic $0.10 $0.50 ≈1.5M words 1M
DeepSeek V4.1 Flash DeepSeek $0.15 $0.60 ≈1.3M words 1M
Kimi K3 Moonshot $0.304 $11.936 ≈62.8K words 1M
DeepSeek V4 Pro 0813 DeepSeek $0.66 $1.98 ≈378.8K words 1M
GPT-5.4 Mini OpenAI $0.75 $4.50 ≈166.7K words 400K
Gemini 3.8 Flash Google $0.825 $4.125 ≈181.8K words 1M
Grok 4.7 xAI $2.00 $6.00 ≈125K words 500K
GPT-6.1 Sol OpenAI $2.00 $10.00 ≈75K words 1.1M
Claude Sonnet 5.5 Anthropic $2.00 $10.00 ≈75K words 1M
Gemini 4 Argon Google $2.00 $10.00 ≈75K words 1M
GPT-5.6 Terra OpenAI $2.00 $12.00 ≈62.5K words 1.1M
Claude Opus 5.5 Anthropic $4.00 $20.00 ≈37.5K words 1M
GPT-6 Astra OpenAI $10.00 $50.00 ≈15K words 1.1M
Claude Fable 5.1 Anthropic $10.00 $50.00 ≈15K words 1M

US dollars per million tokens, input and output. OpenRouter's public model list, checked October 16, 2026. These are list prices; check the maker's own pricing page before you budget, and note that thinking modes bill their reasoning as output.

New this month

Models from makers you have heard of, listed in the last 30 days, newest first.

ListedModelMaker$/M in / out
1 days agoOct 15, 2026 Muse Spark Open Meta $1.25 / $4.25
1 days agoOct 15, 2026 Nemotron 3.5 Super VL Nvidia $0.15 / $0.50
3 days agoOct 13, 2026 Gemini 4 Argon Google $2.00 / $10.00
4 days agoOct 12, 2026 Muse Wonder Meta $4.00 / $20.00
9 days agoOct 7, 2026 Claude Haiku 5.5 Anthropic $0.10 / $0.50
10 days agoOct 6, 2026 Nano Banana 2.1 Google $1.50 / $7.50
10 days agoOct 6, 2026 Mistral Large 4 Mistral $0.68 / $2.09
17 days agoSep 29, 2026 GPT-6.1 Sol Pro OpenAI $2.00 / $10.00
17 days agoSep 29, 2026 GPT-6.1 Sol OpenAI $2.00 / $10.00
18 days agoSep 28, 2026 Claude Sonnet 5.5 Anthropic $2.00 / $10.00
23 days agoSep 23, 2026 GLM 5.3 Prime Z.ai $2.80 / $8.80
23 days agoSep 23, 2026 Qwen3.8 Max Prime Alibaba $4.00 / $12.00
24 days agoSep 22, 2026 Command A+ Cohere $0.30 / $1.50
24 days agoSep 22, 2026 GPT-6 Luna Pro OpenAI $0.10 / $0.50
24 days agoSep 22, 2026 GPT-6 Luna OpenAI $0.10 / $0.50
24 days agoSep 22, 2026 GPT-6 Sol Pro OpenAI $2.00 / $10.00
24 days agoSep 22, 2026 GPT-6 Sol OpenAI $2.00 / $10.00
24 days agoSep 22, 2026 Claude Opus 5.5 Anthropic $4.00 / $20.00
25 days agoSep 21, 2026 Switchyard Nvidia -$1,000,000.00 / -$1,000,000.00
25 days agoSep 21, 2026 MiMo-V2.6-Pro-UltraSpeed Xiaomi $4.35 / $8.70

Listings from the last 30 days by major makers, checked October 16, 2026. Source: OpenRouter's model list.

How the ranking works

LMArena (the former Chatbot Arena from UC Berkeley's LMSYS group) shows a visitor two unnamed models answering the same prompt and asks which answer was better. Millions of those votes feed a Bradley-Terry rating, the same family of math as chess Elo, so a model's score means how often it wins against the field. The 95% margin next to each score is the uncertainty: a model with 5,000 votes has a wider margin than one with 70,000. We show LMArena's default overall text board, one row per model. LMArena lists the same model several times at different reasoning settings ("high", "max"); we keep the best-ranked one and note the setting in brackets.

How to read the prices

AI companies bill by the token, and a token is about three-quarters of an English word, so a million tokens is roughly 750,000 words. Input is what you send (your question, the document you paste); output is what the model writes back. Output is the expensive side, and "thinking" or reasoning modes bill their hidden reasoning as output too, so a hard question can cost several times what the answer length suggests. The prices here are the list prices on OpenRouter's public catalogue, which mirror the makers' own rates; OpenAI, Anthropic and Google also sell batch tiers at half price for jobs that can wait. Always confirm on the maker's pricing page before you budget.

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Which one should you actually use?

If you use AI through a chat app rather than an API, the ranking matters less than it looks. The top ten sit within a few points of each other, the free tiers of ChatGPT, Claude and Gemini all run models from that group, and the differences that matter day to day are the app's features: memory, file handling, voice, and whether your workplace allows it. Pick by the app you like and the price you pay. If you are paying per token, the cost table is the page to read: the gap between the cheapest and priciest name-brand model is more than a hundredfold, and for routine work the cheap end is usually good enough.

What this page does not tell you

A head-to-head vote measures which answer people preferred in a chat window. It does not measure coding accuracy, long-document work, image understanding, speed, or how a model behaves inside an agent. LMArena runs separate boards for several of those, and benchmark suites such as Artificial Analysis publish their own indexes. Treat this table as the popular vote, not the whole election.

Questions people ask

Which AI model is the best right now?

By LMArena's blind head-to-head votes, the model at the top of the table on this page. Check the margin column: when the top few overlap, they are tied for practical purposes, and the order can swap from one week to the next.

How often does this page update?

Once a day. LMArena publishes new leaderboard snapshots every few days and OpenRouter's price list changes whenever a maker changes a price or lists a model; the desk picks both up on its next daily run and stamps the date it last checked under each table.

What does 'open weights' mean?

The maker has published the model's weights under a licence that lets you download and run it yourself, on your own hardware or a cloud you rent, instead of only through the maker's API. Proprietary models can be used only through the company that made them.

Why is a model listed twice on LMArena but once here?

LMArena scores the same model at different reasoning settings as separate rows. We keep the best-ranked setting for each model so the table reads as a list of models, and show the setting in brackets after the name.

Is the cheapest model good enough?

For most everyday writing, summarising and question-answering, yes: the cheap tier from a major maker is usually a smaller version of that maker's flagship. Pay for the expensive tier when you need long, careful reasoning, complex code, or the best possible answer on the first try.

Keep reading

Rankings data: LMArena. Price and listing data: OpenRouter. Both are credited on each table; this site is not affiliated with either.

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