OpenLLM Overview
OpenLLM is a routing layer that lets you take your AI tokens anywhere — using your subscriptions, API keys and local models inside Codex and coding agents, instead of being locked to one provider. It connects the models you already pay for, and keeps your code work flowing in one place.
What is OpenLLM?
OpenLLM is a local LLM routing layer for Claude Code and Codex. It lets you use subscriptions, API keys and local models together, so a coding agent can call the right model for each task. The free plan includes free DeepSeek and Qwen inference, while Pro adds more tokens and devices. Teams support is coming soon.
How OpenLLM Works
You install OpenLLM, connect your subscriptions, API keys and local models, and point your coding agent at it. OpenLLM routes each request to the model you choose, tracks token use, and lets you switch providers without changing your workflow. The free plan covers 50 million tokens per month and 2 devices; Pro raises the limit to unlimited tokens on up to 5 devices, with a 3-day trial.
Who Should Use OpenLLM?
OpenLLM suits developers and teams who use Claude Code or Codex with several model providers and want to control cost, routing and local models in one layer. It is less suited to anyone who only uses one provider’s app, or who does not code with AI agents.
Our Verdict on OpenLLM
Our verdict is that OpenLLM is a practical tool for multi-model coding workflows: the free plan is generous, and Pro at $30 per month is reasonable if you route a lot of tokens. If you juggle subscriptions and local models, OpenLLM is worth trying — and you can compare more options in our AI Developer Tools category.
Unified Model Routing for Coding Agents & Local LLMs
Developers running terminal and IDE coding agents often juggle separate API balances across Anthropic, OpenAI, OpenRouter, and local Ollama or vLLM endpoints. OpenLLM provides a lightweight routing layer that standardizes authentication, fallback rules, and token accounting so tools like Codex-compatible CLI agents, Continue, or custom scripts can switch seamlessly between cloud frontier models and zero-cost local models.
The biggest practical win is cost control: you can route routine autocomplete, repo indexing, and unit-test scaffolding to fast local or low-cost models while reserving premium reasoning models strictly for multi-file architecture changes. Teams with strict data-residency requirements should verify endpoint logging policies for each upstream provider configured in their routing profile.
Key Features
- Local LLM routing layer for Claude Code and Codex
- Use subscriptions, API keys and local models together
- Free DeepSeek and Qwen inference on the free plan
- Token routing without changing your workflow
- 50 million tokens per month free, unlimited on Pro
- Up to 2 devices free, 5 on Pro
OpenLLM Pricing
| Plan | Price |
|---|---|
| Free | $0 (50 million tokens per month, 2 devices) |
| Pro | $30 per month (unlimited tokens, 5 devices, 3-day trial) |
| Teams | Coming soon |
Last updated on November 4, 2026 — always confirm on the official site.
OpenLLM Pros & Cons
✓ Pros
- Generous free token allowance
- Works with subscriptions, keys and local models
- Avoids lock-in to a single provider
- Pro trial lets you test unlimited routing
✕ Cons
- Focused on coding agents, not general chat
- Teams plan is not available yet
- Pro is a monthly cost for heavy users
OpenLLM FAQs
What is OpenLLM?
Is OpenLLM free?
What does OpenLLM Pro cost?
Does OpenLLM support local models?
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