Introducing GPT-5.5 with Perplexity

Why It Matters

GPT‑5.5’s token efficiency cuts operational expenses while accelerating development, giving enterprises a faster, cheaper path to AI‑enhanced products.

Key Takeaways

• GPT‑5.5 delivers higher precision while cutting token consumption dramatically
• Internal prototype built in under one hour using GPT‑5.5
• Token usage drops 56% versus prior models, boosting efficiency
• Workflow automation sees faster completion and reduced computational cost
• Users experience quicker feedback thanks to lower token overhead

Summary

The video announces GPT‑5.5, highlighting its markedly improved precision and token‑efficiency compared with earlier models. Perplexity’s team showcases how the new model reshapes development timelines and operational costs.

A key demonstration involved integrating GPT‑5.5 into an internal Codex‑based tool. What would have taken days was completed in under an hour, underscoring the model’s speed and ease of implementation. Across multiple workflows, token consumption fell by roughly 56%, delivering the same complex outputs with far fewer tokens.

The presenter emphasized concrete metrics: “We saw a 56% reduction in token usage, which translates to faster feedback loops for users.” The rapid prototype build time and token savings serve as tangible proof points of GPT‑5.5’s practical advantages.

For businesses, these gains mean lower API costs, accelerated product cycles, and more responsive user experiences. Companies that adopt GPT‑5.5 can expect measurable efficiency improvements and a competitive edge in AI‑driven services.

Original Description

“I thought building this internal tool was going to take me days…but with Codex and GPT-5.5, I was able to do it in under an hour.”

Denis from Perplexity saw GPT-5.5 cut token usage by 56% while running the same agentic workflows faster and more efficiently.

Build with GPT-5.5: https://openai.com/index/introducing-gpt-5-5/