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Warp Integrates GPT-5.5 to Boost Agent Speed and Efficiency

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Warp, an agentic development environment that combines a terminal with a code editor and AI agents, now supports OpenAI's GPT-5.5. This update prioritizes speed and token efficiency (the number of text units processed per request) while maintaining GPT-5 reasoning. It follows a wave of similar integrations, including Windsurf's GPT-5.5 update.

The shift to GPT-5.5 addresses the primary bottleneck in agentic workflows: the latency of iterative loops. In an agentic environment, the model must repeatedly observe terminal output and execute commands. Warp reported a 40% speedup over GPT-5.4 during internal testing, mirroring the efficiency gains reported by Lovable in complex technical builds.

You can now select GPT-5.5 within the Warp agent to handle long-horizon tasks. This update builds on Warp's recent focus on reliability, such as notifications for stalled workflows. The model is available immediately for all users with agent access through the Warp interface.

View the full update on warp.dev
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Warp's agent now supports GPT 5.5. This model brings greater speed and token efficiency at the frontier intelligence you expect from the GPT series. @bholmesdev saw a ~40% speedup over GPT 5.4 to verify our marketing site migration. What are you using GPT 5.5 for? https://t.co/k7FGq0sEFr

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Still wondering? A few quick answers below.

GPT-5.5 provides greater speed and token efficiency compared to previous models in the GPT series. In an agentic development environment like Warp, these improvements allow the AI agent to process terminal outputs and execute multi-step commands more quickly, reducing the time developers spend waiting for the agent to complete complex tasks.

Internal testing at Warp showed a speed increase of approximately 40 percent when using GPT-5.5 compared to GPT-5.4. This benchmark was recorded during a marketing site migration, where the agent had to verify code and navigate the codebase. The speedup directly impacts the responsiveness of autonomous agent loops within the terminal.

GPT-5.5 is available to users who have access to Warp's agentic development features. Users can select the model from the agent interface within the terminal. It is part of Warp's broader orchestration platform for cloud and local agents, designed to handle software development tasks like debugging and testing.

Token efficiency refers to the model's ability to process information using fewer tokens, which are the basic units of text an AI reads. For Warp users, higher token efficiency in GPT-5.5 means the agent can handle longer conversations and more complex terminal context without hitting limits as quickly, making the agent more capable.

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