Following B.AI’s daily token throughput powerfully surpassing 1.51T, the platform’s ecosystem development has accelerated once again. Recently, B.AI has rapidly expanded its large model matrix with the significant addition of multiple cutting-edge image generation models, fully completing its multimodal capabilities and achieving comprehensive coverage of over 70 top-tier large models across the platform. Meanwhile, B.AI has delivered a major upgrade to its underlying unified Responses API, significantly enhancing interface response efficiency and stability, enabling AI programming tools like Codex and complex agent workflows to effortlessly achieve “plug-and-play” and “frictionless” switching between multiple models.
Leveraging the robust infrastructure enabled by its massive throughput, B.AI has launched a "sale season" for large models, continuously unlocking "compute advantages" through platform economies of scale. These significant moves not only drastically reduce costs and improve efficiency for developers worldwide but also pave the way for the strong international expansion of Chinese large models.
In this historic industry wave, B.AI is accelerating the construction of its platform ecosystem through forward-looking strategic planning and superior technological iteration. Currently, B.AI has gathered nearly 3 million users and serves markets across numerous countries and regions worldwide. Leveraging its substantial scale, B.AI is comprehensively reshaping AI infrastructure with the goal of becoming the “AWS of the AI era”—making cutting-edge, multimodal intelligence as stable, affordable, and accessible as water and electricity, truly building a solid foundation for the next wave of AI.
B.AI ecosystem development accelerates further, building a super hub with multimodal orchestration, unified API, and global settlement.
In the era of cloud computing, AWS revolutionized software development by pooling IT resources such as computing, storage, and networking into on-demand, standardized cloud services. In today’s generative AI era, the fragmentation of computing power, models, and modalities similarly demands a powerful aggregator and scheduler. As a next-generation AI infrastructure platform, B.AI has precisely identified this industry pain point and positions itself beneath all large models and above all agents, striving to build a multimodal computing orchestration platform—the “AWS of the AI era.”
This vision is becoming a reality through continuous capability expansion. Recently, B.AI has introduced a series of large models, with the most significant highlight being the addition of multiple industry-leading image generation models, officially expanding the platform’s capabilities from text-only to high-precision visual generation. As of October 10, B.AI now supports over 70 large models in total, encompassing leading open-source and proprietary models worldwide. Developers can access and effortlessly invoke these top-tier global models through B.AI’s single super gateway, just like downloading apps from an App Store.
However, "big and comprehensive" is just the starting point—B.AI prioritizes "intelligent and efficient." To address the growing complexity of AI application development, B.AI has streamlined its ecosystem upgrade by significantly enhancing the unified Responses API, ensuring full compatibility with upstream standard protocols. This upgrade delivers a groundbreaking "plug-and-play" experience: on the B.AI platform, any existing model that supports the Responses API can now be uniformly accessed via the /v1/responses endpoint.
More importantly, if B.AI later adds support for new models released by integrated vendors, developers can achieve automatic, seamless compatibility directly in clients like Codex without any additional configuration. As models and vendors evolve, the developer integration method remains unchanged—this is the certainty that the infrastructure layer should provide.
From a macro ecological perspective, B.AI has clearly established a dual-driver supply system—“comprehensive coverage” and “extreme cost-effectiveness”—within its latest Responses API model matrix. As of September 24, the platform has launched an “Official API Full Suite,” spanning the world’s leading large model ecosystems, integrating not only cutting-edge international models such as OpenAI, but also deeply incorporating China’s top-tier models including DeepSeek, Kimi, Qwen, HunYuan, MiMo, and GLM, providing developers seeking peak performance and full-scenario capabilities with the most robust foundation. Meanwhile, to address high-frequency usage and cost-sensitive business needs, B.AI has innovatively introduced the “Mix 40% Discount Group” and the “OL Station 40% Discount Group.” This clearly tiered supply strategy enables developers to seamlessly switch between “top-tier comprehensiveness” and “large-scale cost reduction,” confidently navigating diverse commercial deployment challenges.
Beyond unified model integration, B.AI has embedded Web2 and Web3 payment capabilities into its infrastructure layer to build an intelligent settlement network for developers worldwide. The platform supports both traditional fiat currencies and cryptocurrencies, eliminating friction caused by cross-border payments, currency conversion, and settlement delays, enabling developers to deposit, invoke, and settle transactions in the way they’re most familiar with—no matter where they are.
When agents become the next generation of software, the ecosystem entry point will no longer be merely about model integration, but about who can package models, computing power, multimodal capabilities, and payment settlement into stable, unified, and low-cost intelligent services. Just as AWS once packaged underlying resources—computing, storage, and networking—into standardized cloud services, B.AI is laying down precisely this track: developers need not concern themselves with where the models come from; they simply invoke intelligence itself.
Make intelligence as accessible as water and electricity—B.AI is reshaping the infrastructure of the AI era through economies of scale.
As more developers and enterprises access the model through the same entry point, the platform’s ability to reliably handle continuously growing requests becomes an unavoidable challenge. Massive data throughput and high-concurrency processing capabilities are the most critical metrics for evaluating the strength of an AI infrastructure platform.
Historical data shows that B.AI’s single-day maximum token throughput has officially surpassed 1.51 T. This milestone not only breaks industry records but also firmly establishes B.AI as the leader in the next-generation AI infrastructure sector, thanks to its undeniable technical strength and scale advantage. B.AI has become the preferred foundational pathway for developers and enterprises worldwide building AI applications, truly assuming the role of the AI era’s computational hub.
It is this explosive scale growth that has endowed B.AI with an extremely powerful "platform economy effect." By continuously channeling the "computing power dividend" generated from optimized technical architecture and massive scheduling back into the market, B.AI ensures that "free" and "low-cost" services are no longer short-term promotions, but long-term outcomes of scale effects.
Under this mechanism, low costs and a unified entry point not only lower the barrier to entry for developers but also enable models on the platform to reach a much broader global audience—Chinese large models are direct beneficiaries of this effect. Starting October 4, B.AI launched a promotional matrix for DeepSeek, Qwen, MiMo, and GLM series models, driving rapid growth in query volumes across B.AI’s global nodes. On October 9, B.AI’s model ranking showed that Chinese large models occupied the top six positions in the highest query volumes over the past seven days, demonstrating exceptionally strong overseas performance. When price, performance, and integration experience all align, an efficient, low-cost AI “Digital Silk Road” is being built here.
From establishing itself as an industry leader with a daily throughput of 1.51 trillion, to creating a long-term discount mechanism through economies of scale to reduce costs and improve efficiency, and further to leveraging its global computing network to support and accelerate the international expansion of large models, B.AI has successfully built a highly synergistic and self-reinforcing business and technology闭环. This闭环 not only validates the sustainability of its business model but also comprehensively demonstrates B.AI’s absolute leadership in ecological resource integration and global industrial empowerment.
From cloud computing to artificial intelligence, every leap in technological paradigm is ultimately underpinned by an invisible layer of infrastructure. AWS made computing power a public utility, giving rise to the entire cloud-native era. Now, as intelligence itself becomes a callable service, the barriers to innovation will be redefined. B.AI’s mission is not to make developers remember specific models or interfaces, but to make intelligence as stable, accessible, and ubiquitous as water and electricity.