Last updated: April 5, 2026 | Reviewed by Daniel Ashford

The LLM Judge Index

Independent, multi-dimensional AI model evaluation by Daniel Ashford. 624+ models ranked. Methodology

Full Leaderboard - 624 Models

Data by Artificial Analysis | Updated hourly
#ModelIntelGPQACodeInput $/MLicense
1
Claude Opus 5 (Adaptive Reasoning, Max Effort)Anthropic
63.193.2%78.0$5.0Prop.2
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)Anthropic
62.593.7%77.0$5.0Prop.3
Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback)Anthropic
62.192.6%76.5$10.0Prop.4
Claude Opus 5 (Adaptive Reasoning, High Effort)Anthropic
61.593.7%76.5$5.0Prop.5
GPT-5.6 Sol (max)OpenAI
60.994.1%77.4$4.0Prop.6
Grok 4.6 (high)SpaceXAI
60.994.9%76.8$2.0Prop.7
Grok 4.6 (xhigh)SpaceXAI
60.093.5%75.9$2.0Prop.8
Kimi K3 (max)Kimi
59.793.5%76.2$3.0Prop.9
GLM-5.3 (max)Z AI
59.591.7%74.8$1.4Prop.10
GPT-5.6 Sol (xhigh)OpenAI
59.093.1%78.3$4.0Prop.11
Grok 4.6 (medium)SpaceXAI
59.093.5%74.4$2.0Prop.12
Claude Opus 5 (Adaptive Reasoning, Medium Effort)Anthropic
58.691.9%74.3$5.0Prop.13
Qwen3.8 MaxAlibaba
58.192.7%71.8$2.0Prop.14
Qwen3.8 2.4T A95BAlibaba
57.793.5%71.9$2.0Prop.15
GLM-5.3-FlashZ AI
57.591.2%71.5$0.15Prop.16
GPT-5.6 Sol (high)OpenAI
57.392.8%77.2$4.0Prop.17
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)Anthropic
57.392%74.3$5.0Prop.18
Muse Spark 1.2 (xhigh)Meta
56.890.4%72.2$1.3Prop.19
GPT-5.6 Terra (max)OpenAI
56.692.5%76.7$2.0Prop.20
GPT-5.5 (xhigh)OpenAI
56.393.5%74.9$5.0Prop.21
Gemini 3.7 Flash (high)Google
56.094.5%76.1$0.75Prop.22
Qwen3.8-Flash-NextAlibaba
55.892.3%73.1$0.15Prop.23
Grok 4.5 (high)SpaceXAI
55.893.1%72.4$2.0Prop.24
GPT-5.6 Sol (medium)OpenAI
55.692.6%76.3$4.0Prop.25
Claude Sonnet 5 (Adaptive Reasoning, Max Effort)Anthropic
55.391.1%71.5$2.0Prop.26
Claude Opus 4.7 (Adaptive Reasoning, Max Effort)Anthropic
55.091.4%73.6$5.0Prop.27
GPT-5.5 (high)OpenAI
54.793.2%71.6$5.0Prop.28
Gemini 3.7 Flash (medium)Google
53.492.1%71.5$0.75Prop.29
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)DeepSeek
53.292.8%68.8$1.3Prop.30
Muse Spark 1.1 (xhigh)Meta
53.289.8%71.3$1.3Prop.31
GPT-5.4 (xhigh)OpenAI
53.192%71.1$2.5Prop.32
GPT-5.6 Terra (xhigh)OpenAI
52.890.8%70.6$2.0Prop.33
GLM-5.2 (max)Z AI
52.689.5%68.8$1.4Prop.34
Claude Opus 5 (Adaptive Reasoning, Low Effort)Anthropic
52.588.9%66.9$5.0Prop.35
GPT-5.6 Luna (max)OpenAI
52.391.1%71.4$0.20Prop.36
Qwen3.8 27B (xhigh)Alibaba
52.090.5%68.1$0.50Prop.37
Gemini 3.5 Flash (high)Google
52.092.2%70.1$1.5Prop.38
DeepSeek V4 Flash 0731 (Reasoning, Max Effort)DeepSeek
51.890.8%69.1$0.44Prop.39
Grok 4.6 (low)SpaceXAI
51.787.9%66.3$2.0Prop.40
Gemini 3.6 Flash (high)Google
51.692.8%69.2$0.75Prop.41
DeepSeek V4 Flash Vision (Reasoning, Max Effort)DeepSeek
51.591.3%65.0$0.44Prop.42
GPT-5.5 (medium)OpenAI
51.492.6%71.5$5.0Prop.43
Gemini 3.7 Flash (low)Google
50.990.1%71.0$0.75Prop.44
GPT-5.6 Sol (low)OpenAI
50.789.8%69.7$4.0Prop.45
GPT-5.6 Luna (xhigh)OpenAI
50.189.5%68.6$0.20Prop.46
GPT-5.6 Terra (high)OpenAI
50.189.6%67.1$2.0Prop.47
Agnes 2.5 Pro BetaSapiens AI
49.190.5%62.3$0.10Prop.48
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort)Anthropic
48.487.5%63.0$3.0Prop.49
Kimi K3 (low)Kimi
48.384.2%72.0$3.0Prop.50
Gemini 3.1 Pro PreviewGoogle
47.794.1%68.8$2.0Prop.
Showing top 50 of 624 models. Full data powered by Artificial Analysis.

Best LLM By Use Case

💻
Best for Code Generation
Weighted ranking
💬
Best for Customer Chatbot
Weighted ranking
✍️
Best for Content Writing
Weighted ranking
📊
Best for Data Analysis
Weighted ranking
🔬
Best for Research & RAG
Weighted ranking
🛡️
Best for Safety-Critical
Weighted ranking

Best LLM By Industry

🎓
Education
Schools, tutoring and edtech
🏥
Healthcare
Hospitals, clinics and health tech
🏦
Financial Services
Banking, investment and fintech
⚖️
Legal
Law firms, contracts and legal tech
💬
Customer Support
Help desks, chatbots and CX

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LLM Glossary

47 AI and language model terms explained. Browse all

Large Language Model (LLM)
An AI system trained on massive text data to understand and generate human language.
Tokens
The basic units of text that LLMs process — roughly 3/4 of a word.
Context Window
The maximum amount of text an LLM can process in a single request.
Hallucination
When an LLM generates plausible-sounding but factually incorrect information.
Inference
The process of an LLM generating a response to your input.
Prompt
The text input you send to an LLM to get a response.
Fine-Tuning
Customizing a pre-trained LLM on your specific data to improve performance for your use case.
RAG (Retrieval-Augmented Generation)
A technique that gives LLMs access to external documents to improve accuracy and reduce hallucination.

By Provider

Anthropic (3)OpenAI (3)Google (2)Meta (1)Mistral (1)Alibaba (1)DeepSeek (1)