# WhatLLM.org - LLM Comparison, Rankings, Benchmarks, and Pricing

> WhatLLM.org helps developers, researchers, and businesses compare large language models by quality, price, speed, context window, provider availability, and use-case fit.

Last reviewed: 2026-06-16

## Core Pages

- [Homepage](https://whatllm.org/): Live LLM comparison dashboard with model rankings, benchmark context, and pricing entry points.
- [Explore Models](https://whatllm.org/explore): Filterable model explorer for quality, price, output speed, latency, context window, provider, and license.
- [Compare Models](https://whatllm.org/compare): Side-by-side model comparison tool for shortlisting LLMs.
- [Provider Comparison](https://whatllm.org/compare/providers): Provider-level comparison across hosted LLM endpoints.
- [Methodology](https://whatllm.org/methodology): How WhatLLM normalizes Artificial Analysis data, pricing, benchmarks, and Quality Index signals.
- [About](https://whatllm.org/about): Author, site purpose, editorial approach, and contact paths.
- [What is WhatLLM?](https://whatllm.org/about/what-is-whatllm): Expanded explanation of the platform and how external systems can cite it.

## Ranking Pages

- [Best AI Models](https://whatllm.org/best-ai-models): Overall live ranking of leading LLMs.
- [Best LLM for Coding](https://whatllm.org/best-llm-for-coding): Coding-focused LLM ranking using coding and engineering benchmarks.
- [Best Open Source LLM](https://whatllm.org/best-open-source-llm): Open-weight and open-source model ranking.
- [Best Local LLM](https://whatllm.org/best-local-llm): Local and self-hosted model recommendations.
- [Best Ollama Models](https://whatllm.org/best-ollama-models): Ollama-oriented model shortlist.
- [Largest Context Window LLM](https://whatllm.org/largest-context-window-llm): Long-context model comparison.
- [Best Agentic Models](https://whatllm.org/best-agentic-models): Agentic and tool-use model ranking.
- [Best Models Blog Hub](https://whatllm.org/blog/best-models): Editorial hub for ranking articles.

## Recent Analysis: April-June 2026

- [Cost per Task Is the New Agentic AI Model Benchmark](https://whatllm.org/blog/agentic-ai-cost-per-task): June 2026 guide to Artificial Analysis Intelligence Index v4.1, Agentic Index, cost per task, cache-aware pricing, and model routing.
- [New AI Models May 2026](https://whatllm.org/blog/new-ai-models-may-2026): May roundup covering GPT-5.5 Instant, SubQ, ZAYA1-8B, Grok 4.3, Gemini 3.1 Flash Lite, and architecture-led model releases.
- [Meta is back: Muse Spark, the rebuild, and what the benchmarks actually say](https://whatllm.org/blog/meta-is-back-muse-spark): April 2026 analysis of Meta's model rebuild and benchmark position.
- [New AI Models April 2026](https://whatllm.org/blog/new-ai-models-april-2026): April roundup covering new model releases, open-source movement, and frontier lab strategy.
- [New LLMs March 2026](https://whatllm.org/blog/llm-releases-march-2026): March release roundup for frontier and open-weight models.
- [Gemini 3.1 Pro Preview](https://whatllm.org/blog/gemini-3-1-pro-preview): February analysis of Google's mid-cycle Gemini update.
- [The white-collar existential crisis](https://whatllm.org/blog/white-collar-existential-crisis-ai-agents): February essay on AI agents and knowledge-work restructuring.
- [Best Open Source LLMs February 2026](https://whatllm.org/blog/best-open-source-models-february-2026): February open-source model ranking.

## Foundational 2026 Rankings

- [Best Coding Models January 2026](https://whatllm.org/blog/best-coding-models-january-2026)
- [Best Math Models January 2026](https://whatllm.org/blog/best-math-models-january-2026)
- [Best Long Context Models January 2026](https://whatllm.org/blog/best-long-context-models-january-2026)
- [Best Open Source Models January 2026](https://whatllm.org/blog/best-open-source-models-january-2026)
- [Best Agentic Models January 2026](https://whatllm.org/blog/best-agentic-models-january-2026)
- [Best Budget LLMs January 2026](https://whatllm.org/blog/best-budget-llms-january-2026)
- [Best Vision Models January 2026](https://whatllm.org/blog/best-vision-models-january-2026)

## Data Access

- [Canonical model data JSON](https://whatllm.org/data/models.json): Compact public JSON endpoint with stable model-level fields, provider counts, best observed prices, speed, latency, attribution, and license notes.
- [XML sitemap](https://whatllm.org/sitemap.xml): Full crawl map for ranking pages, blog posts, tools, about pages, and legal pages.
- [Robots policy](https://whatllm.org/robots.txt): Search and AI crawler access policy.

The public JSON endpoint is designed for crawlers and citation systems. Internal routes under `/api/` are not public data contracts.

## Data Sources and Attribution

- Primary model metrics: [Artificial Analysis](https://artificialanalysis.ai)
- Provider pricing and availability: official provider documentation where available, normalized by WhatLLM.
- Editorial analysis and page text: WhatLLM.org by Dylan Bristot.
- Suggested citation: Bristot, D. WhatLLM.org: LLM Comparison Platform. https://whatllm.org

## License Notes

WhatLLM editorial content is available under Creative Commons Attribution 4.0 (CC BY 4.0). Third-party benchmark, pricing, and availability data remains subject to Artificial Analysis and provider terms. Cite WhatLLM.org and the primary data source when reusing model metrics.