Site map
Every page on LLModel.com, grouped by section.
Start here
Models and providers
- LLM rankings you can tune
- LLM directory
- LLM Providers
- Claude Fable 5.1
- Claude Opus 5.5
- Claude Sonnet 5.5
- Claude Haiku 5.5
- Claude Opus 5
- GPT-6 Astra
- GPT-6.1 Sol
- GPT-6 Luna
- GPT-5.6 Sol
- GPT-5.5
- Gemini 3.1 Pro
- Gemini 3.8 Flash
- Gemini 3.6 Flash
- Gemini 3.5 Flash-Lite
- Gemini 3.1 Flash-Lite
- Grok 4.7
- Grok 4.6
- Grok 4.3
- Grok Build 0.1
- Amazon Nova 2 Lite
- Muse Spark 1.3
- Sonar
- Llama 4 Maverick
- Llama 4 Scout
- Muse Glimmer 30B
- Mistral Large 4
- Mistral Large 3
- Mistral Medium 3.5
- Mistral Small 4
- Ministral 3 14B
- Ministral 3 8B
- Ministral 3 3B
- Codestral 25.08
- DeepSeek-V4.1-Flash
- DeepSeek-V4-Pro
- Qwen3.8-Max
- Qwen3.8-2.4T-A95B
- Qwen3.8-27B
- Qwen3.6-35B-A3B
- Gemma 4 31B
- Gemma 4 26B A4B
- Gemma 4 E4B
- gpt-oss-120b
- gpt-oss-20b
- Phi-4-reasoning-vision-15B
- Phi-4-mini-instruct
- NVIDIA Nemotron 3 Ultra
- NVIDIA Nemotron 3.5 Lightning 30B-A3B
- Kimi K3
- GLM-5.3
- GLM-5.3-Flash
- MiniMax-M3
- Granite 4.2 30B
- Granite 4.2 8B
- Olmo 3.1 32B Think
- OpenAI Models
- Anthropic Models
- Google Models
- xAI Models
- Amazon (AWS) Models
- Meta Models
- Perplexity Models
- Mistral AI Models
- DeepSeek Models
- Alibaba (Qwen) Models
- Microsoft (Phi) Models
- NVIDIA Models
- Moonshot AI Models
- Z.ai (Zhipu AI) Models
- MiniMax Models
- IBM Models
- Ai2 (Allen Institute for AI) Models
- Reasoning Models
Comparisons
- Compare LLMs side by side
- Self-host vs API calculator
- Fine-Tuning vs RAG vs Prompting
- Open-Source vs Closed LLMs
- Claude Opus 5.5 vs GPT-6 Astra
- Claude Sonnet 5.5 vs GPT-6.1 Sol
- Claude Haiku 5.5 vs GPT-6 Luna
- Gemini 3.1 Pro vs GPT-6 Astra
- Claude Opus 5.5 vs Gemini 3.1 Pro
- Claude Fable 5.1 vs GPT-6 Astra
- Gemini 3.8 Flash vs GPT-6.1 Sol
- Grok 4.7 vs GPT-6.1 Sol
- DeepSeek-V4-Pro vs Claude Opus 5.5
- Qwen3.8-Max vs DeepSeek-V4-Pro
- Kimi K3 vs DeepSeek-V4-Pro
- gpt-oss-120b vs Gemma 4 31B
Shortlists
Tools
Guides
- AI Agents Explained
- Context Windows Explained
- How Do LLMs Work? Tokens, Attention and Sampling Explained
- How to Choose an LLM
- LLM API Pricing Explained
- LLM Benchmarks Explained
- LLM Hallucinations
- LLM Security and Privacy
- Prompt Engineering Guide
- RAG Explained
- How to Run LLMs Locally in 2026
- What Is a Large Language Model? A Plain-English Guide
Learn more
- The LLM Brief
- LLM Guides
- LLM Glossary
- LLM glossary: fundamentals
- LLM glossary: model architecture
- LLM glossary: training
- LLM glossary: inference and deployment
- LLM glossary: prompting
- LLM glossary: building LLM apps
- LLM glossary: evaluation and benchmarks
- LLM glossary: safety and governance
- LLM glossary: business and pricing
- Best Videos on Large Language Models
- Prompt Library
- LLM Resources
- LLM Timeline