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OpenRouter raises $113M Series B as token volume reaches 25T per week

OpenRouter raised $113 million at a $1.3 billion valuation in a Series B round led by CapitalG, as its AI model exchange platform saw weekly token volume surge fivefold to 25 trillion.

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May 27, 2026 · 1 min read

OpenRouter, the provider of the unified API platform that enables users to access some of the most popular LLMs in the market via its distributed architecture, announced a $113 million Series B led by CapitalG, Alphabet's independent growth fund, valuing the company at approximately $1.3 billion—more than double its $547 million valuation from just a year ago.

The round attracted a notable roster of strategic investors including NVIDIA's NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, and Databricks Ventures, alongside existing backers Andreessen Horowitz and Menlo Ventures.

Founded in 2023, OpenRouter provides developers and enterprises access to over 400 AI models from providers including Anthropic, Google, OpenAI, xAI, and DeepSeek through a single API. The platform's weekly token volume has exploded to 25 trillion—a fivefold increase from 5 trillion just six months ago—reflecting the rapid enterprise shift toward AI agents and multi-model deployment strategies.

With 8 million global users, OpenRouter has become a widely referenced signal of real-world model adoption and pricing dynamics. The platform helps enterprises route requests across models to optimize for cost, latency, and capability, addressing the operational complexity that multi-model strategies create.

"The era of picking a single model is over," said CEO Alex Atallah. "Success now depends on continuously routing across a changing market."

The new funding will expand OpenRouter's routing, governance, and optimization capabilities as enterprises increasingly deploy AI into production workflows.


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Ellie Ramirez-Camara
News Editor

Ellie Ramirez-Camara is the News Editor at Data Phoenix, where she writes the daily AI newsdesk — covering model releases, research, funding rounds, and policy across the AI and machine-learning industry. She tracks announcements from labs and startups alike and distills them into clear, source-linked reporting for practitioners.

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