About LMRank
LMRank is an independent guide to major AI models. Rank, pricing, capabilities, and benchmark context in one clear view, without the marketing noise.
Who runs LMRank
A side project I started in 2025 after too many evenings cross-referencing provider pages to find the best model for a task. It now tracks many models from many labs, maintained alongside my day job.
What LMRank covers
LLMs from major labs: OpenAI, Anthropic, Google DeepMind, Meta, Mistral, DeepSeek, and others. Organized by rank, provider, category, pricing, context window, and public benchmark evidence. Every model page shows per-token pricing and capability flags like vision, tool use, and reasoning.
How to use it
Start on the leaderboard for the broad market view, ranked by composite benchmark score. Drill into categories like coding, reasoning, or creative writing for shortlists. Model pages give pricing, context limits, release notes, and benchmark breakdowns. The comparison tool puts any two models side by side so you can weigh cost, speed, and capability.
How the site is maintained
Listings are reviewed after material releases, price changes, or credible benchmark updates. Data comes from official provider documentation, published research, and public benchmarking platforms. The full process is on the Methodology page.
Editorial policy and corrections
LMRank does not accept payment for placement or ranking changes. Product and model claims should link to primary documentation or clearly identified public benchmarks. If a price, source, or capability claim is wrong, open a public correction issue with the affected page and supporting source. Corrections are reviewed against the source before publication.