If you’ve ever wished that ChatGPT was a bit faster on the uptake, #OpenAI has answered your prayers. The AI giant has rolled out a new mode called Ultrafast, designed to drastically accelerate the pace of its latest and most powerful model, GPT-5.6 Sol.
According to OpenAI, the Ultrafast mode operates at 14x the speed of standard processing, delivering up to 750 output tokens per second. "Until now, getting real-time speed typically meant choosing a smaller or more specialized model," OpenAI noted in its announcement. "#Ultrafast points to progress in a new direction: more useful work per second."
While competitors like Anthropic have introduced accelerated versions of their own models—such as Claude's fast mode—they do not match the raw throughput OpenAI is achieving here. OpenAI suggests this high-octane version of GPT-5.6 Sol is primed for various corporate workflows, including incident response, customer support, financial market analysis, and e-commerce.
Currently in a preview phase, Ultrafast is powered by OpenAI's strategic partnership with chip manufacturer Cerebras. The preview is limited to a select group of enterprise customers, with plans to expand access as infrastructure capacity scales.
[AgentUpdate Depth Analysis] The launch of Ultrafast mode represents a pivotal shift in the LLM landscape, transitioning from mere low-latency text generation to real-time agentic computation. Historically, high latency has been a primary bottleneck for complex AI Agent workflows, particularly those involving multi-agent orchestration, recursive reflection loops, and intensive tool use. By delivering 750 tokens per second via Cerebras' wafer-scale engine, OpenAI breaks the compromise between model capability and execution speed. While competitors like Groq and Anthropic have pushed fast-inference boundaries, Ultrafast brings this extreme velocity to a top-tier flagship model like GPT-5.6 Sol. This breakthrough will dramatically enhance the viability of real-time AI Agents in high-frequency trading, instant customer experience loops, and interactive robotics, effectively shifting AI Agents from "slow, batch-processed helpers" to "instantaneous digital coworkers."
