B.AI, a next-generation AI infrastructure platform, recently sparked a wave of excitement among developers by offering free access to top-tier models. Within just a few days, the platform’s daily token usage crossed 1.33 trillion—a historic achievement. This record-breaking number highlights the explosive success of the campaign, but it’s only the beginning of B.AI’s larger strategic vision. Moving beyond traditional ways of distributing computing power, B.AI aims to become the global settlement layer for intelligence—a core infrastructure hub designed to support collaboration, coordination, and value exchange among AI agents in complex business processes. By positioning itself strategically above all models and below all agents, B.AI integrates a wide range of leading models with full-stack tools, creating a solid and essential foundation for the widespread adoption of autonomous agents and the boost in productivity that will follow.
Daily Token Usage Tops 1.33 Trillion: B.AI’s Free Access Push Drives Usage Surge
B.AI’s recent decision to open free access to premium AI models has captured developers’ attention and quickly become a hot topic in the industry. This push for accessible computing power has not only increased platform activity but also broken usage records. In just a few days, soaring API demand pushed daily token usage past an incredible 1.33 trillion. Over a 15-day period, total usage reached 8.19 trillion tokens, attracting more than 220,000 new API users. As of September 3, B.AI’s total user base had officially surpassed 2.3 million.
This massive adoption is directly linked to the platform’s free model lineup, a strategic move designed to remove developers’ worries about costs. With all barriers gone, B.AI now offers unlimited free access to six leading frontier models: DeepSeek-V4-Flash, DeepSeek-V4-Flash-Vision-Exp, Tencent Hy3, Xiaomi MiMo-V2.5, GLM-5.3-Flash (Ox Alpha), and Qwen3.8-Flash.
Notably, on September 3, B.AI introduced a new pricing structure for DeepSeek-V4-Flash and DeepSeek-V4-Flash-Vision-Exp, offering tiered discounts. Developers now get a 50% discount during peak hours, with off-peak rates dropping to just 25% of standard peak pricing. At the same time, the platform has kept free access for GLM-5.3-Flash (Ox Alpha), Qwen3.8-Flash, Tencent Hy3, and Xiaomi MiMo-V2.5. Despite this shift toward commercialization, developer interest hasn’t faded, and platform-wide token usage continues to rise steadily. This ongoing momentum proves the campaign was much more than a short-term giveaway of computing power—it’s a sign of the broader evolution in AI infrastructure. Crossing 1.33 trillion daily tokens makes one thing clear: AI applications are moving beyond simple chatbots. With a high-performance technical setup and flexible service options, B.AI is building the foundation for the next big step—autonomous AI agents working at scale.
Powering the “AI Grid”: B.AI Anchors the Global Settlement Layer for the Agent Economy
For B.AI, making computing power accessible is just the opening act. Looking further ahead, the platform is focused on building full-stack infrastructure for the agent era, securing its role as the global settlement layer for intelligence. In this new era, a typical agent task requires constantly switching between different models. No single provider can handle an entire workflow alone, so developers are left dealing with fragmented API protocols, separate billing systems, and conflicting usage limits.
B.AI’s settlement layer fills this exact gap. Positioned strategically “above all models, below all agents,” B.AI brings together models from different providers, with varying capabilities and costs, into a single pool of resources that can be scheduled as needed. Using a dual-tier API structure that offers reliable official routes alongside low-cost custom channels, developers can choose between guaranteed direct connections and heavily discounted options.Across a wide range of models, combined with smart routing on the Chat interface, B.AI works as a full-stack “AI grid.” This ensures every agent request reaches the best model for reliable performance at the lowest possible cost.
On the payment side, this grid connects both Web2 and Web3 systems seamlessly. For Web2, developers can use familiar payment methods to top up with minimal hassle. For Web3, B.AI uses on-chain payment rails, giving global developers decentralized, verifiable, and low-friction options. With both systems running in parallel, B.AI lets developers and agent applications on any infrastructure find the best way to pay, offering a single integration point with worldwide reach.
Driving Core Productivity: B.AI Reshapes Agent Collaboration
Beyond building a foundation for compute routing and global payments, B.AI is moving past basic infrastructure to boost real-world productivity. By enabling smooth agent collaboration across complex workflows, it provides the missing execution layer for the agent economy.
At the heart of this layer is native Codex integration. Full compatibility with the Responses API means developers can now use a single B.AI key in Codex to run top GPT models and DeepSeek favorites side by side.
Engineers can bring these powerful models directly into their daily development tools. From code generation and reasoning to debugging and refactoring, B.AI brings the whole workflow together in one place, creating a direct path from model choice to finished code.
Beyond coding, to keep agents running reliably in real-world production at scale, B.AI has built a full-stack infrastructure with five core parts, giving agents a finely tuned operational engine:
– x402 Payment Protocol: Introduces a new “pay-before-response” model that handles high-frequency, on-chain micro-payments in the background during cross-agent API calls and compute management.
– 8004 Identity Protocol: Gives every agent verifiable on-chain credentials, recording execution history and credit scores to build a trusted foundation for cross-node collaboration.
– Skills Matrix: Offers plug-and-play, standardized building blocks that connect directly with MCP servers, giving agents instant, modular tool-calling abilities.
– BAIclaw and BAIcode: Built-in platform helpers designed for end-to-end execution. BAIclaw manages all-in-one terminal operations and multi-agent workflows, while BAIcode acts as an advanced developer engine that streamlines the full process from task analysis and architecture design to coding and testing.
From the token surge sparked by free model access to its role as the global payment layer for intelligence; from smooth Codex integration to full-stack infrastructure powered by x402, 8004, Skills, and native assistants—B.AI offers more than a proven technical setup; it reveals a clear vision for the future. B.AI is building not just accessible compute today, but the definitive launchpad for a thriving agent economy. The future is here—and this is only the start.
B.AI Team
Singapore
support@b.ai
Frequently Asked Questions
It looks like you havent provided a specific topic for the FAQs Since you mentioned It looks like youve provided a request but havent included the actual text I will assume the topic is How to Use an AI Assistant to Rewrite Text
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Frequently Asked Questions Using AI to Rewrite Text
1 What does it mean to rewrite text with AI
Rewriting means taking existing text and changing the words sentence structure and phrasing while keeping the original meaning exactly the same AI tools do this automatically to make the text clearer more formal or more engaging
2 Why would I use an AI to rewrite my writing instead of doing it myself
It saves time and effort AI can instantly suggest multiple ways to phrase a sentence help you overcome writers block improve clarity and adjust the tone without you having to start from scratch
3 Is it considered plagiarism if I use AI to rewrite content
It depends on how you use it If you feed AI someone elses copyrighted article and ask it to spin it to pass it off as your own that is unethical and can be considered plagiarism However if you use it to polish your own original ideas or to summarize research with proper citations it is generally acceptable
4 Will the AI change the factual meaning of my original text
Usually no but you must always doublecheck AI is very good at understanding context but it can occasionally misinterpret a complex sentence or a specific technical term Always proofread the output to ensure the facts and numbers are accurate
5 What is the difference between rewriting paraphrasing and summarizing
RewritingParaphrasing means rephrasing a specific passage to make it sound different while keeping the same length and detail
Summarizing means condensing a large amount of text into a short overview only keeping the main points
6 I have a very specific voice in my writing Can the AI copy it
You can guide the AI by giving it instructions For example you can type Rewrite this in a humorous tone or Make this sound more academic However