Base44 ran GPT-5.6 against GPT-5.5 across real app-building workloads and got a clear result: 20% fewer tokens consumed, faster task completion, and stronger first-pass UI generation on complex interfaces.
The speaker is Yoav Farhi, Staff AI Engineer at Base44, a platform that converts natural language into production-ready applications and custom AI agents without requiring users to write code. The token reduction is not a rounding error. It directly cuts inference costs and latency for every build cycle on the platform.
The full video is worth watching for how Base44 structured its evaluation across diverse app-building scenarios, not just synthetic benchmarks. The methodology behind comparing first-pass design quality is where the real signal lives.
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