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GODOT24.3%0.3
ANXIETY71EXTREME FEAR
ADOPTION34.7%2.1
DISPLACED-18.4M312K/wk
CLAUDE 3.794.22.1
GPT-4o91.80.3
INCIDENTS124 MTD

Every frontier model, ranked live

The Godot Model Index is a weighted composite of LMSYS Arena Elo (human preference), OpenRouter adoption rank, and pricing efficiency.

UPDATED · Sat, 17 Oct 2026 22:21:25 UTC
Scoring methodology →
#ModelGodotEloWeekly$/M in$/M outContextCategory
1
Anthropic: Claude Opus 4.6
Anthropic
99.31498#195.0025.001000KMultimodal
2
Z.ai: GLM 5.1
Z-ai
95.31462#270.9663.04205KFrontier
3
Qwen: Qwen3.5 Plus 2026-02-15
Alibaba
93.71470#1350.2601.561000KMultimodal
4
Google: Gemini 3 Flash Preview
Google DeepMind
93.61442#110.5003.001049KMultimodal
5
Anthropic: Claude Sonnet 4.6
Anthropic
93.41458#73.0015.001000KMultimodal
6
Z.ai: GLM 5
Z-ai
92.61446#401.003.20205KFrontier
7
SpaceXAI: Grok 4.20
xAI
91.01445#971.252.502000KMultimodal
8
Qwen: Qwen3.5 397B A17B
Alibaba
90.81438#570.5003.60262KMultimodal
9
Anthropic: Claude Opus 4.5
Anthropic
90.71451#755.0025.00200KMultimodal
10
Z.ai: GLM 4.7
Z-ai
90.31435#540.5401.98205KFrontier
11
DeepSeek: DeepSeek V3.2
DeepSeek
90.21424#100.2800.420164KOpen Source
12
Anthropic: Claude Sonnet 4.5
Anthropic
90.11438#463.0015.001000KMultimodal
13
Google: Gemini 3.1 Flash Lite Preview
Google DeepMind
89.71416#370.2501.501049KMultimodal
14
MoonshotAI: Kimi K2.5
Moonshotai
89.71420#440.5002.50262KMultimodal
15
Z.ai: GLM 4.6
Z-ai
89.01440#1440.5002.00205KFrontier
16
OpenAI: GPT-5.4 Mini
OpenAI
88.81411#360.7504.50400KMultimodal
17
xAI: Grok 4.1 Fast
xAI
88.71408#4550.2000.5002000KMultimodal
18
Qwen: Qwen3 235B A22B Instruct 2507
Alibaba
88.41419#280.0900.550262KOpen Source
19
Google: Gemini 2.5 Flash
Google DeepMind
88.31406#130.3002.501049KMultimodal
20
Qwen: Qwen3 VL 235B A22B Instruct
Alibaba
87.71420#1120.2101.90262KMultimodal
21
DeepSeek: DeepSeek V3.1
DeepSeek
87.61417#660.2500.950164KOpen Source
22
OpenAI: GPT-5.1
OpenAI
87.31422#471.2510.00400KMultimodal
23
Xiaomi: MiMo-V2-Pro
Xiaomi
87.31395#4361.003.001049KFrontier
24
Google: Gemma 4 26B A4B
Google DeepMind
87.31434#1550.0680.225262KMultimodal
25
SpaceXAI: Grok 4.20 Multi-Agent
xAI
87.21450#1821.252.502000KMultimodal
26
DeepSeek: DeepSeek V3.2 Exp
DeepSeek
86.81422#1000.2700.410164KOpen Source
27
OpenAI: GPT-5.2
OpenAI
86.81412#711.7514.00400KMultimodal
28
MiniMax: MiniMax M2.7
Minimax
86.61392#260.3001.20205KFrontier
29
DeepSeek: DeepSeek V3.1 Terminus
DeepSeek
86.51417#920.2701.00164KOpen Source
30
DeepSeek: R1 0528
DeepSeek
86.51428#1090.5002.15164KReasoning
31
Qwen: Qwen3.5-Flash
Alibaba
86.41397#590.0650.2601000KMultimodal
32
OpenAI: GPT-5.2 Chat
OpenAI
86.31438#1711.7514.00128KMultimodal
33
Qwen: Qwen3.5-122B-A10B
Alibaba
86.31417#1410.2602.08262KMultimodal
34
xAI: Grok 4 Fast
xAI
86.21400#4680.2000.5002000KMultimodal
35
OpenAI: GPT-5 Chat
OpenAI
86.11403#2001.2510.00128KMultimodal
36
Anthropic: Claude Haiku 4.5
Anthropic
85.41397#331.005.00200KMultimodal
37
OpenAI: GPT-5.4 Pro
OpenAI
84.91469#29530.00180.001050KMultimodal
38
Qwen: Qwen3.5-27B
Alibaba
84.81409#830.2602.60262KMultimodal
39
Qwen: Qwen3.5-35B-A3B
Alibaba
84.61395#680.1501.00262KMultimodal
40
MoonshotAI: Kimi K2 Thinking
Moonshotai
84.21414#1890.6002.50262KReasoning
41
Anthropic: Claude Opus 4.7
Anthropic
84.21377#85.0025.001000KMultimodal
42
OpenAI: GPT-5.4 Nano
OpenAI
83.91372#490.2001.25400KMultimodal
43
Google: Gemini 2.5 Flash Lite
Google DeepMind
83.91369#140.1000.4001049KMultimodal
44
Qwen: Qwen3 235B A22B Thinking 2507
Alibaba
83.71415#1240.4503.50128KReasoning
45
Z.ai: GLM 4.5
Z-ai
83.51430#2080.6002.20131KFrontier
46
OpenAI: GPT-5 Mini
OpenAI
83.51373#430.2502.00400KMultimodal
47
Google: Gemini 2.5 Flash Lite Preview 09-2025
Google DeepMind
83.41379#870.1000.4001049KMultimodal
48
OpenAI: GPT-4.1
OpenAI
83.01383#702.008.001048KMultimodal
49
Qwen: Qwen3 30B A3B Instruct 2507
Alibaba
82.61384#1070.1000.300262KOpen Source
50
Baidu: ERNIE 4.5 300B A47B
Baidu
82.11445#4280.2801.10131KFrontier
Showing 50 of 50 models
Open-source pulse · HuggingFace

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Methodology

How the Godot Model Index is computed

Weighted composite on a 0–100 scale: 60% capability (LMSYS Arena Elo, min–max normalized across ranked models), 30% adoption (OpenRouter weekly usage rank across 680+ models), and 10% efficiency (inverse of per-token price). Models without an Arena signal are capped at 50. Updated daily via cron at 03:00 UTC.

  • · Capability signal: https://lmarena.ai/ (via HuggingFace dataset snapshot).
  • · Adoption signal: https://openrouter.ai/ frontend weekly ranking.
  • · Efficiency signal: OpenRouter pricing (input + output $/1M tokens).
  • · Name matching across sources uses a Haiku-backed alias table.