OpenRouter Launches Owl Alpha Stealth Model for Free Agentic Workloads

Apr 30, 2026 · Updated May 8, 2026

OpenRouter, a unified API platform for accessing hundreds of AI models, launched Owl Alpha as a new stealth foundation model. It features a 1.05 million token context window and a 262,144 token output limit, optimized for the agentic loop (the iterative cycle where an AI observes, reasons, and acts).

Context window: 1,048,756 tokens
Max output tokens: 262,144 tokens
Input pricing: $0 per million tokens
Output pricing: $0 per million tokens
Native capabilities: Tool use, code generation
Availability: OpenRouter API and Chat

The launch follows OpenRouter's Elephant Alpha release where cloaked models are provided for free to gather performance data. By offering frontier-level context alongside Poolside AI's agentic coding models, the platform is positioning itself as the infrastructure layer for autonomous agents. This enables testing high-reasoning workflows without frontier model costs.

You can access Owl Alpha immediately through the OpenRouter API. It is compatible with tools like Claude Code and OpenClaw for automated engineering. While inference is free, the provider logs all prompts to improve the model, so avoid submitting sensitive information during this alpha period.

View the full update on openrouter.ai

OpenRouter

@OpenRouterApr 30

New stealth model: Owl Alpha! Owl is a high-performance foundation model designed for agentic workloads. Powerful tool use capabilities and a 1M context window, ready for use in all your favorite productivity apps. Try it now and share feedback to improve the model! https://t.co/xCRu8sgeU8

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Still wondering? A few quick answers below.

Owl Alpha is a high-performance foundation model designed specifically for agentic workloads, which involve AI systems performing multi-step tasks autonomously. It natively supports tool use and complex instruction execution, making it suitable for automated workflows and code generation. The model is currently available as a stealth release on the OpenRouter platform.

Owl Alpha is currently free to use on OpenRouter, with a price of zero dollars per million input and output tokens. This free access is provided to gather community feedback and improve the model. Users can access it through the OpenRouter API or the platform's chat interface without incurring inference costs during this testing period.

Owl Alpha features a massive context window of 1,048,756 tokens, allowing it to process extremely large datasets or entire codebases in a single prompt. Additionally, it supports a maximum output of 262,144 tokens. This high capacity is intended to maintain coherence during long-horizon tasks and complex, multi-step agentic interactions.

Yes, Owl Alpha is designed for compatibility with mainstream productivity and agentic coding tools, including Claude Code and OpenClaw. It is already being utilized by several public applications on OpenRouter, such as Hermes Agent and Kilo Code, to handle tasks like autonomous file editing, running terminal commands, and managing persistent memory across sessions.

Because Owl Alpha is a stealth model provided for free, the model provider logs all prompts and completions to improve the system's performance. Users should be aware that their data is not private and may be used for training purposes. OpenRouter recommends avoiding the submission of personal, confidential, or sensitive information when interacting with this model.