AI Model Rankings
Live LLM rankings by real-world usage. Models are ranked by tokens processed through the OpenRouter API by millions of developers. View all text models
Usage data through
Weekly usage of models across OpenRouter
Each task’s leading models, ranked by share of spend on OpenRouter
What one coding-agent session typically costs (paid usage), by session length
TOP 20 PLOTTED SEARCH TO PIN UP TO 5
Browse the new Apps & Agents directory to explore by category, discover trending tools, and see detailed usage stats.
1.
Hermes Agent
Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.
1.57Ttokens
2.
Claude Code
Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.
714Btokens
3.
Kilo Code
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains, and CLI to help developers ship code faster with agentic workflows.
474Btokens
4.
Cline
Cline is an open-source AI coding agent that lives inside your IDE, autonomously exploring your codebase, editing files, running terminal commands, and using browser automation.
407Btokens
7.
OpenClaw
OpenClaw is an open-source AI agent that connects to your messaging apps and takes real actions on your behalf, from running commands and browsing the web to managing files and sending emails.
184Btokens
How these rankings are measured
What is measured
Each model is ranked by the number of tokens it processed through the OpenRouter API, counting both prompt and completion tokens. Usage is aggregated into daily buckets in UTC and totalled per model variant, so variants of the same model, such as a free variant, are ranked separately. Requests that a user or app keeps private are excluded before aggregation.
Selection period
Today, This Week, and This Month each cover a trailing window of one day, seven days, and thirty days, ending with the most recent complete daily bucket. Trending compares the trailing seven days with the seven days before it and ranks models by the percentage change in tokens, including only models with at least one million tokens in the current window so that a small base cannot produce a large percentage. New models with no prior week are listed first, up to five of them.
Freshness
The date above the rankings is the newest usage bucket the leaderboard is computed from, not the time the page was rendered or deployed, so it advances only when new usage data is aggregated.
What these rankings do not establish
These rankings measure adoption, not quality. They do not rank models by accuracy, reasoning ability, or benchmark performance, which are reported separately in the Benchmarks section of this page. They describe traffic routed through OpenRouter, not the whole market and not usage on a model provider's own API. Token volume is also not a count of requests, users, or spend, and models differ in verbosity and tokenization, so a higher token total does not by itself mean a model is preferred for a given task. The Top Models chart groups models outside the top ten into an Others series, and the Market Share chart does the same with model authors rather than individual models.
Rankings data by OpenRouter is licensed under CC BY 4.0. Reuse and republish it with attribution. The Data API docs cover the citation format and JSON access to these datasets.
