OpenRouter Completes $113M Series B Round, Processes 25 Trillion Tokens Weekly
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Summary
OpenRouter, an AI model trading and routing platform, has raised $113 million in a Series B round led by CapitalG, with participation from leading tech and crypto investors. The company now processes 25 trillion tokens per week—a fivefold increase in six months—and serves over 8 million users worldwide. On-chain developments underscore rising momentum in global crypto policy as platforms scale their infrastructure and user adoption.
ME AI News: According to monitoring by Beating, OpenRouter has announced the completion of a $113 million Series B funding round led by CapitalG, Alphabet’s independent growth fund, with participation from NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, and Databricks Ventures. Existing investors including a16z and Menlo Ventures also continued their support. OpenRouter is an AI model marketplace and routing platform that enables enterprises to access over 400 models from providers such as Anthropic, Google, OpenAI, xAI, and DeepSeek through a single API. The strongest validation for this round is usage growth: the company reports that its platform now processes 25 trillion tokens per week—approximately 100 trillion tokens per month—up fivefold from 5 trillion tokens per week six months ago. The platform currently serves over 8 million users worldwide, including AI-native startups and large enterprises. OpenRouter addresses the challenge enterprises face when shifting from single-model usage to multi-model orchestration: different tasks require trade-offs between cost, latency, capability, and data governance policies, necessitating unified routing, access control, spending visibility, and audit-ready usage reports. The company states that the new funding will be used to expand its routing, governance, and optimization capabilities. As model providers continue to compete on price and performance, developers increasingly need an intermediary layer to compare, switch, and orchestrate models. Whoever controls real-world API traffic is positioned closest to the core of enterprise AI procurement and model distribution. (Source: BlockBeats)
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