A comprehensive utility for programmatically discovering, filtering, and selecting the most cost-effective models from OpenRouter for AI agent workflows.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install free-models-for-openclaw
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install free-models-for-openclaw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Free Models for AI Agents?
The free-models skill is a specialized toolkit designed for developers who want to minimize costs while maximizing performance in their AI agent deployments. By interfacing directly with OpenRouter, this skill allows users to identify models that are either completely free or priced at a high-value discount. It provides a structured way to navigate the evolving landscape of Large Language Models (LLMs) specifically for Openclaw Skills and other agent-based architectures.
This skill eliminates the manual overhead of checking pricing tables by offering programmatic access to model metadata. Whether you are building a tool-calling agent that requires high context windows or a specialized reasoning agent, this skill ensures you find the right model at the lowest possible price point.
Free Models for AI Agents Use Cases
- Automatically selecting zero-cost models for high-volume background tasks.
- Filtering for high-context models (200k+ tokens) for document processing without high overhead.
- Dynamically switching between models based on specific task needs like vision or advanced reasoning.
- Budget-friendly testing and prototyping of Openclaw Skills using low-cost flash models.
How Free Models for AI Agents Works
- The skill connects to the OpenRouter API to fetch the latest list of available models and their real-time pricing data.
- Users define specific filtering criteria such as maximum price per million tokens, minimum context window, or specific providers.
- The skill analyzes model metadata to identify candidates that match the agent's functional requirements, such as vision or tool-calling capabilities.
- A selection logic identifies the 'best' model based on a balance of performance metrics and cost constraints.
- The agent utilizes the returned model endpoint and configuration for its execution cycle.
Free Models for AI Agents Setup
To get started, you need an API key from OpenRouter. Once obtained, configure your environment and run the discovery script.
# Set your OpenRouter API key
export OPENROUTER_API_KEY="sk-or-v1-..."
# Run the discovery script to find models
node scripts/free-models.js
Free Models for AI Agents Data Schema & Taxonomy
The skill organizes model metadata into a structured format for easy filtering and selection within Openclaw Skills.
| Attribute | Description |
|---|---|
maxPromptPrice |
Maximum price allowed per 1M tokens for input. |
minContext |
The minimum required token window for the task. |
author |
The provider of the model (e.g., google, openai, qwen). |
needVision |
Boolean flag to filter for models with image processing capabilities. |
needReasoning |
Boolean flag to filter for high-logic reasoning models. |
Free Models for AI Agents Advanced Features
- Intelligent 'Best Choice' selection based on a weighted analysis of context window versus price.
- Specific provider filtering for developers who prefer ecosystem-specific models (e.g., Anthropic, Google, or DeepSeek).
- Vision and reasoning capability detection to ensure the model matches the specific complexity of the agent task.
- Substring name matching to target specific model families like 'flash' or 'lite' versions for Openclaw Skills users.
SKILL.md
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