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Access GPT-5.5, GPT-5.4, and Gemini 3.1 in Lovable AI | My AI Guide

Access GPT-5.5, GPT-5.4, and Gemini 3.1 in Lovable AI

By Harsh Desai
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TL;DR

Lovable AI now supports the GPT-5.5 and GPT-5.4 model families, Gemini 3.1 Flash Lite, and text embedding models to power semantic search, RAG pipelines, and AI features inside your apps.

Lovable AI has expanded its model options for users. People can now work with the GPT-5.5 and GPT-5.4 families along with Gemini 3.1 Flash Lite. This addition makes it simpler to add smart capabilities to various projects.

Text embedding models are also part of the update. These tools help with better search results and other AI functions in apps. Small business owners gain more ways to improve their digital tools without extra complexity.

The changes focus on practical AI support for everyday builds. Vibe builders can explore new ideas with these models in place. The result is greater flexibility when developing applications that rely on advanced language features.

Who this matters for

  • Vibe Builders: Use GPT-5.5 and Gemini 3.1 inside Lovable to build complex RAG pipelines without writing code.
  • Basic Users: Select the latest GPT and Gemini models in your Lovable project settings to improve app responses.

Harshs take

Lovable adding GPT-5.5 and Gemini 3.1 support is a significant infrastructure win for non-technical builders. By integrating text embedding models directly, they are moving beyond simple chat interfaces into functional application development. This allows users to build semantic search and knowledge retrieval systems that actually work, rather than just hallucinating based on static prompts.

The inclusion of Gemini 3.1 Flash Lite is the real operational move here. It provides a low-latency, cost-effective alternative for high-frequency tasks where the heavy GPT-5.5 models would be overkill. Operators should focus on the RAG capabilities: this update makes it possible to build apps that query specific datasets with high accuracy.

It is a clear signal that the no-code space is maturing from toy demos to data-driven tools.

by Harsh Desai

Source:docs.lovable.dev

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