Build "AI Era AWS": B.AI significantly upgrades the multimodal matrix and Responses API, unleashing computing power dividends to construct an inclusive intelligent foundation

After B.AI's single-day Token throughput strongly broke through 1.51T, the platform's ecological development has once again pressed the accelerator button. Recently, B.AI's platform large model matrix has accelerated its updates, adding several top-tier image generation models, fully completing the multi-modal puzzle and achieving comprehensive coverage of over 70 top large model computing powers across the site. At the same time, B.AI has made a significant upgrade to its underlying unified Responses API, greatly enhancing interface response efficiency and stability, allowing AI programming tools like Codex and complex Agent workflows to easily achieve "plug-and-play" and "zero friction" switching between multiple models.

Relying on the underlying support brought by its massive throughput, B.AI has launched a large model "discount season," continuously releasing "computing power dividends" through the platform's scale effect. This series of significant actions not only provides global developers with extreme cost reduction and efficiency improvement but also paves the way for the strong "going global" of Chinese large models.

In this historic industrial wave, B.AI is accelerating the construction of its platform ecosystem with its forward-looking strategic layout and excellent technological iteration. Currently, B.AI has gathered nearly 3 million users, serving multiple countries and regions around the world. Relying on its massive business volume, B.AI is comprehensively reshaping AI infrastructure, aiming to become the "AWS of the AI era," making top-tier intelligence across all modalities as stable, inexpensive, and accessible as water and electricity, truly building a solid foundation for the new generation of AI wave.

B.AI's ecological development accelerates again, building a super hub with multi-modal scheduling, unified API, and global settlement

In the era of cloud computing, AWS transformed IT resources like computing, storage, and networking into standardized cloud services available on demand, fundamentally changing the landscape of software development. In the current generative AI era, the fragmentation of computing power, models, and modalities also requires a powerful aggregator and scheduler. As a next-generation AI infrastructure platform, B.AI has accurately identified this industry pain point, positioning itself beneath all large models and above all Agents, dedicated to creating a comprehensive computing power scheduling platform, building the "AWS of the AI era."

This vision is becoming a reality through continuous capability expansion. Recently, B.AI welcomed a large-scale model update, with the core highlight being the addition of several industry-leading image generation models, officially expanding the platform's capability map from a single text to the high-precision visual generation field. As of October 10, B.AI has cumulatively supported over 70 large models across the site, covering mainstream open-source and closed-source models globally. Developers can freely and flexibly call the world's top large models through this one super entrance, just like downloading applications from the App Store.

However, "large and complete" is just the starting point; B.AI cares more about "intelligent and efficient." To meet the increasingly complex AI application development needs, B.AI has simplified the unified Responses API in this ecological upgrade, fully compatible with upstream standard protocols. This upgrade brings a disruptive "plug-and-play" experience: currently, existing models on the B.AI platform can be uniformly called through the /v1/responses interface as long as the upstream supports the Responses API.

More importantly, if B.AI subsequently adds support for new models launched by connected vendors, developers will not need to make any additional configurations and can directly achieve automatic, seamless compatibility in clients like Codex. Models may change, vendors may change, but the way developers access them does not have to change; this is the certainty that the infrastructure layer should provide.

From a macro ecological layout perspective, B.AI has clearly constructed a supply system driven by "comprehensive coverage" and "extreme cost performance" in the latest Responses API supported model matrix. Data as of September 24 shows that the platform has established an "official API full group," spanning the global top large model ecosystem, encompassing cutting-edge overseas models like OpenAI and deeply integrating top Chinese model matrices such as DeepSeek, Kimi, Qwen, Hunyuan, MiMo, and GLM, providing the most solid foundation for developers pursuing extreme performance and all-scenario capabilities. On the other hand, in response to high-frequency calls and cost-sensitive business needs, B.AI has innovatively launched the "Mix 60% Discount Group" and "OL Station 60% Discount Group." This clearly layered supply strategy allows developers to switch freely between "top-tier all-round" and "large-scale cost reduction," confidently addressing diverse commercial landing challenges.

In addition to unified model access, B.AI has also integrated Web2 and Web3 payment capabilities into the infrastructure layer, creating an intelligent settlement network for global developers. The platform supports both traditional fiat and cryptocurrency payments, smoothing out friction caused by cross-border payments, currency exchanges, and settlement delays, allowing developers to recharge, call, and settle in ways they are familiar with, regardless of their location.

As Agents become the next generation of software, the ecological entrance is no longer just about model access, but about who can package models, computing power, multi-modal capabilities, and payment settlements into a stable, unified, low-cost intelligent supply. Just as AWS packaged underlying resources like computing, storage, and networking into standardized cloud services, B.AI is laying down such a track, where developers do not need to care about where the models come from; they just need to call the intelligence itself.

Making intelligence as accessible as water and electricity, B.AI reshapes the infrastructure of the AI era with scale effects

As more and more developers and enterprises call models from the same entrance, the platform's ability to steadily handle the continuously growing requests becomes an unavoidable test. Massive data throughput and high concurrency processing capabilities are the most hardcore indicators of an AI infrastructure platform's strength.

Historical data shows that B.AI's platform has officially broken through a single-day Token throughput of 1.51T, a milestone that not only refreshes industry records but also establishes B.AI's leading position in the new generation of AI infrastructure track with absolute technical strength and scale advantages. B.AI has become the preferred underlying channel for global developers and enterprises to build AI applications, truly taking on the important role of a computing power hub in the AI era.

It is this explosive scale growth that endows B.AI with an extremely powerful "platform scale effect." By continuously feeding back the "computing power dividends" brought by technical architecture optimization and massive scheduling to the market, B.AI makes "free" and "low-cost" no longer a short-term benefit but a long-term result of scale effects.

Under this mechanism, low costs and a unified entrance not only lower the usage threshold for developers but also allow the model supply on the platform to achieve broader global reach, with Chinese large models being direct beneficiaries of this effect. Starting from October 4, B.AI launched discount matrices for DeepSeek, Qwen, MiMo, and GLM series models, rapidly driving the call volume of B.AI's global nodes. On October 9, the B.AI model leaderboard showed that in the ranking of the highest call volumes over the past seven days, Chinese large models took the top six spots, performing exceptionally strong in going global. When price, performance, and access experience are all in place, a highly efficient, low-cost AI "digital Silk Road" is being paved here.

From establishing an industry-leading position with a 1.51T single-day throughput to creating a long-term discount mechanism for cost reduction and efficiency improvement through scale effects, and then to using a global computing power network to support and promote large models going global, B.AI has successfully constructed a highly collaborative, self-reinforcing commercial and technical closed loop. This closed loop not only validates the sustainability of its business model but also fully reflects B.AI's absolute leadership in ecological resource integration and global industrial empowerment.

From cloud computing to artificial intelligence, every leap in technological paradigms is ultimately supported by an invisible layer of infrastructure. AWS made computing power a public resource, giving rise to the entire cloud-native era, and as intelligence itself becomes a callable service, the threshold for innovation will also 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 water and electricity.