Following B.AI's single-day Token throughput soaring past 1.51T, the platform's ecosystem development has accelerated once again. Recently, B.AI rapidly expanded its large model matrix with the addition of multiple cutting-edge image generation models, comprehensively filling the multimodal puzzle and achieving full coverage of over 70 top-tier large models across the entire platform. At the same time, 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 seamlessly achieve "plug-and-play" and "frictionless" switching among multiple models.

Empowered by massive throughput capacity, B.AI has launched its "Discount Season" for large models, continuously unleashing "compute dividends" through platform-scale effects. These strategic moves not only drastically reduce costs and boost efficiency for global developers but also pave the way for China’s large models to powerfully "go global."

In this historic wave of industrial transformation, B.AI is accelerating its ecosystem construction through forward-looking strategic positioning and exceptional technological iteration. Currently, B.AI has amassed nearly 3 million users and serves customers across numerous countries and regions worldwide. Leveraging its substantial scale, B.AI is comprehensively reshaping AI infrastructure, striving to become the "AWS of the AI era"—making top-tier intelligent capabilities across all modalities as stable, affordable, and accessible as electricity and water—truly building a solid foundation for the next wave of AI innovation.

B.AI Ecosystem Accelerates: Building a Super Hub with Multimodal Scheduling, Unified API, and Global Settlement

In the cloud computing era, AWS revolutionized software development by pooling IT resources such as computing, storage, and networking into standardized on-demand cloud services. In today’s generative AI era, fragmented compute, models, and modalities similarly demand a powerful aggregator and orchestrator. As a next-generation AI infrastructure platform, B.AI precisely identified this industry pain point and positioned itself beneath all large models and above all Agents, committed to building a fully multimodal compute orchestration platform—the "AWS of the AI era."

This vision is now becoming reality through continuous capability expansion. Recently, B.AI introduced a large-scale update to its model lineup, with the most significant highlight being the integration of multiple industry-leading image generation models, officially extending the platform’s capabilities from pure text to high-precision visual generation. As of October 10, B.AI now supports over 70 large models across its entire platform, encompassing mainstream open-source and proprietary models globally. Developers need only one super gateway—B.AI—to freely and flexibly invoke top-tier global large models just like downloading apps from an App Store.

However, "broad and comprehensive" is merely the starting point. B.AI places greater emphasis on "smart and efficient." To address increasingly complex AI application development demands, B.AI simplified its architecture in this ecosystem upgrade, delivering a major enhancement to its unified Responses API with full compatibility with upstream standard protocols. This upgrade delivers a revolutionary "plug-and-play" experience: currently, any model on the B.AI platform that supports the Responses API can be uniformly invoked via the /v1/responses endpoint.

Even more importantly, if B.AI later adds support for new models launched by already-integrated vendors, developers require no additional configuration—they can directly achieve automatic, seamless compatibility within clients like Codex. Models change, vendors evolve—but the developer’s integration method remains unchanged. This is exactly the certainty that infrastructure layers should provide.

From a macro perspective, B.AI has clearly established a dual-driven supply system in its latest Responses API-supported model matrix: "comprehensive coverage" and "maximum cost-effectiveness." Data as of September 24 shows that on one hand, the platform maintains an "Official API Full Suite," spanning the globe’s leading large model ecosystems—including frontier overseas models like OpenAI—and deeply integrating China’s top-tier model portfolios such as DeepSeek, Kimi, Qwen, Hunyuan, MiMo, and GLM—providing developers pursuing peak performance and full-scenario capabilities with the most robust foundation. On the other hand, addressing high-frequency usage and cost-sensitive business needs, B.AI innovatively launched the "Mix 60% Off Group" and "OL Station 60% Off Group," enabling developers to freely switch between "top-tier versatility" and "massive cost reduction," confidently tackling diverse commercial deployment challenges.

Beyond unified model access, B.AI has integrated Web2 and Web3 payment capabilities into its infrastructure layer, building an intelligent settlement network for global developers. The platform supports both traditional fiat currencies and cryptocurrencies, eliminating friction caused by cross-border payments, currency conversion, and settlement delays, allowing developers anywhere in the world to recharge, invoke services, and settle transactions in their familiar ways.

When Agents become the next generation of software, the ecosystem entry point is no longer just about model access—it’s about who can package models, compute, multimodality, and payment settlement into stable, unified, low-cost intelligent supply. Just as AWS once encapsulated computing, storage, and networking into standardized cloud services, B.AI is laying down this very track: developers don’t need to care where the model comes from—they simply invoke intelligence itself.

Making Intelligence as Accessible as Electricity and Water: B.AI Reimagines AI Infrastructure Through Scale Effects

As more developers and enterprises begin calling models through the same entry point, whether the platform can reliably handle continuously growing request volumes becomes an unavoidable test. Massive data throughput and high-concurrency processing capabilities are the hardest metrics to measure the true strength of an AI infrastructure platform.

Historical data shows that B.AI’s peak daily Token throughput has officially surpassed 1.51T—a milestone achievement that not only breaks industry records but also establishes B.AI’s dominant position in the next-generation AI infrastructure arena through undeniable technical prowess and scale advantages. B.AI has become the preferred foundational pathway for global developers and enterprises building AI applications, truly fulfilling its role as the central hub of compute in the AI era.

It is precisely this explosive scale growth that endows B.AI with immense "platform scale effects." By continuously recycling "compute dividends" generated from optimized technical architecture and massive scheduling into the market, B.AI turns "free" and "low-cost" from temporary incentives into long-term outcomes driven by scale.

Under this mechanism, low cost and a unified entry point not only lower the barrier to entry for developers but also expand the global reach of model offerings on the platform—China’s large models being direct beneficiaries. Since October 4, B.AI launched a discounted model matrix featuring DeepSeek, Qwen, MiMo, and GLM series models, driving rapid growth in invocation volume across its global nodes. On October 9, B.AI’s model ranking showed that Chinese large models occupied the top six spots in the highest invocation volume over the past seven days—an exceptionally strong performance in international expansion. With price, performance, and access experience all aligned, a highly efficient, low-cost "digital Silk Road" for AI is taking shape here.

From establishing a leading industry position with 1.51T daily throughput, to building a long-term discount mechanism through scale effects for cost reduction and efficiency gains, to leveraging a global compute network to drive and accelerate the international expansion of large models—B.AI has successfully constructed a highly coordinated, self-reinforcing business and technical closed-loop. This closed-loop not only validates the sustainability of its business model but also fully demonstrates B.AI’s absolute leadership in ecological resource integration and global industrial empowerment.

From cloud computing to artificial intelligence, each technological paradigm shift ultimately rests upon an invisible layer of infrastructure. AWS made computing a public resource, giving rise to the entire cloud-native era. Now, when intelligence itself becomes a callable service, the threshold for innovation will be redefined. What B.AI is doing is not making developers remember a specific model or interface—but making intelligence as stable, inclusive, and accessible as electricity and water.