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October 2026 LM Ranking
Arena
Arena
RankModelScoreVotes
Price

About prices

Ranks output prices from the same provider with the same billing unit on this leaderboard into three tiers, from expensive to affordable.

Amounts are rounded for display, preserving significant digits for small prices.

ofoxAI
1
Gemini 4 Carbon (High)
Google
1528
4.4k—Not available
2
Gemini 4 Argon (High)
Google
1520
11.9k
$2 / 10Affordable
Input / Output
Try model
3
Claude Opus 5.5 (High)
Anthropic
1509
11.4k
$4 / 20Moderate
Input / Output
Try model
4
Muse Wonder (Max)
Meta
1507
7.7k—Not available
5
Claude Fable 5.1 (Max)
Anthropic
1504
17.2k
$10 / 50Expensive
Input / Output
Try model
6
Claude Fable 5 (High)
Anthropic
1504
45.3k
$10 / 50Expensive
Input / Output
Try model
7
Claude Opus 4.6 (High)
Anthropic
1503
84.5k—Not available
8
Claude Opus 4.7 (High)
Anthropic
1501
65.1k
$5 / 25Expensive
Input / Output
Try model
9
Claude Opus 4.6
Anthropic
1496
89.3k—Not available
10
Gemini 3.8 Flash (High)
Google
1496
47.8k
$0.75 / 3.75Affordable
Input / Output
Try model
11
Muse Spark 1.3 (Max)
Meta
1495
22.1k—Not available
12
Claude Opus 4.7
Anthropic
1494
66.1k
$5 / 25Expensive
Input / Output
Try model
13
Muse Spark 1.2 (xHigh)
Meta
1492
11.7k—Not available
14
Claude Opus 5 (High)
Anthropic
1492
73.2k
$5 / 25Expensive
Input / Output
Try model
15
Claude Opus 5 (Max)
Anthropic
1491
35.5k
$5 / 25Expensive
Input / Output
Try model
16
Muse Spark 1.1
Meta
1490
46.4k—Not available
17
Gemini 3.7 Flash (High)
Google
1490
32.3k
$0.75 / 3.75Affordable
Input / Output
Try model
18
Muse Spark
Meta
1489
14.1k—Not available
19
Kimi K3 (Max)
MoonshotOpen source
1488
36.8k
$3 / 15Moderate
Input / Output
Try model
20
Gemini 3.1 Pro
Google
1487
132.5k
$2 / 12Affordable
Input / Output
Try model

The Arena Ranking is a leaderboard created through user votes. Users try and compare models in anonymous head-to-head matchups, and the votes are used to produce scores and rankings. It covers text, coding, vision, image, and video generation, with the latest results presented by category each month so you can understand model capabilities through real-world user feedback.