Comparisons · Last updated October 20, 2026
How AirLLM compares with other LLM routers and coding agents
Each comparison explains what both products are designed for, how they route requests, how they connect to coding agents, and where each one is the better fit. Facts about other products come from their own public documentation, with links, and every page shows the date it was last checked.
LLM routers and gateways
For teams choosing the layer between their tools and the models: hosted APIs, self-hosted gateways and coding-focused routing.
AirLLM vs OpenRouter
A hosted unified API with a large model catalog, compared with routing built around coding-agent steps.
Read GatewayAirLLM vs LiteLLM
An open-source, self-hosted AI gateway compared with a hosted routing layer.
Read GatewayAirLLM vs Portkey
An AI gateway with observability and guardrails compared with task-aware routing for coding agents.
ReadAI coding agents
For developers choosing the agent itself. Each of these agents can also send its requests through Air Router.
AirCode vs Claude Code
Two terminal coding agents: Anthropic’s Claude Code and AirLLM’s AirCode CLI.
Read AgentAirCode vs Codex CLI
OpenAI’s open-source Codex CLI compared with AirCode CLI.
Read EditorAirCode vs Cursor
An AI code editor compared with AirCode CLI and the upcoming AirCode Studio desktop app.
ReadHow these comparisons are written
We describe what each product is designed for rather than ranking them, and we only state what a vendor’s own documentation says. If we couldn’t confirm something, we leave it out instead of guessing. Products change quickly, so each page carries its last-checked date and a list of sources. Product and company names are trademarks of their respective owners.
Or keep the tools you have
Air Router works with Claude Code, Codex CLI, Cursor and other compatible tools, so you don’t have to switch agents to route their requests.