OpenRouter raises $113M Series B, doubles valuation to $1.3B as multi-model AI approach takes hold

OpenRouter more than doubles valuation to $1.3B in a year | TechCrunch

OpenRouter, the unified gateway and API for Large Language Models founded in 2023, has raised a hefty $113 million Series B led by CapitalG, the growth venture fund of Google parent company Alphabet. While the startup didn't disclose its new valuation, The New York Times reports that it landed at about $1.3 billion post-money. This is a hefty increase from the estimated $547 million post-money valuation it hit a year ago, per Pitchbook, after raising $40 million in Series A funding in June 2025. That round was led by Andreessen Horowitz and Menlo Ventures, with participation from Sequoia. What a difference a year makes. Since then, AI work has shifted from training to inference to, now, agents. And OpenRouter's AI gateway has soared in popularity in response. The gateway helps enterprises and other AI users select different models for different jobs to control costs or increase reasoning and accuracy for the task at hand. OpenRouter provides access to over 400 models, including Anthropic, Google, OpenAI, xAI, and DeepSeek, it says. It claims 8 million global users and 100 trillion tokens processed per month, or about 25 trillion per week. That's a 5X increase from the 5 trillion tokens it was processing per week just six months ago. OpenRouter's success means that the AI model is increasingly becoming an invisible, swappable engine for AI tasks. Rather than a future where startups or enterprises standardize on a model of choice -- perhaps creating a single all-powerful model maker in the process -- the growth of OpenRouter indicates something else. Companies have no plans to get locked into a model vendor as they did with their various SaaS providers. The multi-model future is already here.

OpenRouter, an Exchange for A.I. Models, Raises $113 Million

An investment arm of Alphabet is backing OpenRouter, which helps companies choose among hundreds of models for different software tasks. Companies increasingly rely on more than one artificial intelligence model to power their software, for efficiency -- and increasingly, for cost. That is driving demand, and investor interest, in a start-up that helps them do just that. The start-up, OpenRouter, which was founded three years ago, describes itself as a marketplace for A.I. models. It plans to announce on Tuesday that it has raised $113 million, led by CapitalG, an investment arm of Alphabet, Google's parent company. The round values OpenRouter at about $1.3 billion, according to a person with knowledge of the round who wasn't authorized to disclose the figure publicly. That is more than double the company's value in its previous fund-raising round last year. Alex Atallah, an OpenRouter founder and its chief executive, described his company as the A.I. equivalent of Stripe, the financial giant that handles all payments for customers through a single access point. It also helps companies avoid being locked into one particular model provider. "A lot of what we do is try to help people find the right vendor for the job," he said. The rising popularity of OpenRouter -- which says it now processes 25 trillion tokens, the basic unit of A.I. computing, every week, up from five trillion six months ago -- underscores the growing number of models available and the rapid rise of the token economy. (Mr. Atallah declined to provide financial performance statistics, including revenue.) While the general public knows of some, including those from OpenAI, Anthropic and Google, OpenRouter says it provides access to more than 400, with some prioritizing heavy-duty reasoning and others speed.

OpenRouter raises $113M to bring order to enterprise AI inference routing - SiliconANGLE

OpenRouter raises $113M to bring order to enterprise AI inference routing Artificial intelligence inference routing startup OpenRouter Inc. today announced it raised $113 million in new funding led by CapitalG, Alphabet Inc.'s independent growth fund, to push the envelope for providing access to generative AI models. Additional investors participating in the Series B round included Nvidia Corp.'s venture capital arm NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures and Databricks Ventures, alongside existing investors Andreessen Horowitz and Menlo Ventures. OpenRouter provides a quick and easy interface for individual developers and enterprise businesses to access, route to and optimize for centralized closed-source AI model providers and open-source models. It has a marketplace of hundreds of models and providers, allowing AI apps and agents to pick and choose the best possible model and provider through a single unified interface. At the same time, the company's interface provides a single pane for billing, tracking usage and inference and enforcing rules. Organizations can add policies such as per-request data handling policies, team-level access and routing permissions, providing a way to cap spending, gain spend-level visibility and support audit-friendly usage reporting, alongside intelligent routing to improve cost and performance. For uptime-conscious businesses, the company also provides intelligent failover to increase reliability. Having access to multiple vendors through a single, easy-to-use interface means that developers and businesses can experiment without vendor lock-in or risk. "Running inference at scale is fundamentally a multi-model problem. The era of picking a single model is over," said Co-founder and Chief Executive Alex Atallah. "Success now depends on continuously routing across a changing market." It's not uncommon for a company to consume almost a billion tokens a month in inference. A token is the atomic unit of data processing used by language models such as ChatGPT. It is often a word, part of a word or a punctuation mark. Tokens cost money to process in both input and output. For an example of scale, OpenAI Group PBC's GPT-5.5 inference costs $5 per 1 million input tokens and $30 per 1 million output tokens, double the price of 5.4. That is not unexpected, given GPT-5.5 is a powerful flagship frontier model provided by a centralized industry leader. OpenRouter also gives access to smaller open-source models that are significantly less expensive but still powerful in their own right, such as Qwen3.7 Max at $2.50 per 1 million input tokens and $7.50 per 1 million output tokens. According to a recent Deloitte Touche Tohmatsu Ltd. study, 67% of enterprise businesses already compute almost 1 billion tokens a month. As more AI agents push into the marketplace and users adjust to models that can reason over audio, images and video, the number of tokens being consumed will only balloon further. At the same time, companies are looking for ways to contain costs by routing different types of needs between models optimized for specific kinds of reasoning. For example, a company might send summarization tasks to a smaller text-only model, while having a multimodal experience, such as audio or video, handled by a more costly model designed specifically for that purpose. Its answers could then be passed back to a smaller orchestrator model that can parse the output alongside business information. These competing cost and performance needs create a level of operational complexity that means organizations must either build their own tooling to support this sort of routing, or sign up for a platform such as OpenRouter that provides a centralized control plane to optimize cost, latency and capability. OpenRouter provides its own usage and model rankings as open data, which have become widely referenced signals across the AI industry for trends in real-world adoption of particular models, performance dynamics and pricing decisions. The company's volume has surged to around 25 trillion tokens per week, representing a fivefold increase from 5 trillion tokens per week six months ago. The platform currently supports more than 8 million global users, including AI-native startups and large enterprises. The company said it intends to use the new funding to expand its routing, governance and optimization capabilities as enterprises continue to adopt, deploy and scale AI throughout their operations.

OpenRouter Raises $113 Million to Expand AI Model Marketplace | PYMNTS.com

The company said its Series B round, announced Tuesday (May 26), will allow it to expand its routing, governance, and optimization capabilities as businesses increasingly deploy AI. The announcement cited a 2026 Deloitte study which found that more than two-thirds of enterprises are already consuming more than one billion tokens -- the fundamental unit of AI data -- each month. Against this backdrop, OpenRouter is seeing companies use multiple models and providers "optimize for cost, latency, and capability," bringing out operational complexity requiring centralized control. "Running inference at scale is fundamentally a multi-model problem. The era of picking a single model is over," said Alex Atallah, CEO and co-founder of OpenRouter. "Success now depends on continuously routing across a changing market. Because OpenRouter sits in the flow of production traffic, we can optimize every request for cost, performance, and reliability in real time." In an interview with the New York Times, Atallah likened his company to Stripe, the financial infrastructure company that handles all payments for its clients via one access point. "A lot of what we do is try to help people find the right vendor for the job," he said. The same report cited a source familiar with the matter who said that the Series B values OpenRouter at $1.3 billion. That figure is more than double the company's valuation from its previous round of funding last year. In other AI news, recent PYMNTS Intelligence research shows that a growing share of America's hourly workers are encountering the technology at work before they feel financially prepared for it. "While AI is spreading across workplaces of every type, low-income workers are receiving less training, reporting lower confidence and showing fewer financial buffers to absorb disruption," PYMNTS wrote earlier this week. The research also suggests that AI's impact is moving beyond Silicon Valley and corporate offices into the Labor Economy. That's the warehouses, restaurants, hospitality, logistics and caregiving jobs that account for a large share of day-to-day consumer spending. Around one third of workers now fall into this group, representing about 60 million adults and around 15% of annual GDP. According to the research, 37% of these workers said their employer had introduced new automation or AI tools during the last 12 months, while nearly 60% of Labor Economy workers affected by AI said they had gotten trained on the new technology. And only 39% of these workers reported feeling confident they could find comparable-paying work if technology did away with their current position.