Replit launches Free Mode with OpenAI GPT-5.6 Luna for paying subscribers
Replit launches Free Mode powered by OpenAI GPT-5.6 Luna, enabling Core and Pro subscribers to create without spending credits until they reach monthly usage limits that reset every 5 hours. The platform also introduces a redesigned interface that consolidates chat, ideation, and code development into a single unified workspace, allowing users to work more efficiently without context switching.
We've been waiting for something like this, but I didn't expect it so soon. It's straightforward: OpenAI managed to find a way to dramatically reduce the costs of running models—we've written about it here on TechFlow—and that lets their models power partner services for almost nothing. "Almost" is the key word here, because nothing is completely free, but you won't be paying with money.
How does Free Mode work on Replit?
Free Mode is included with Replit subscriptions (Core at $20/month, Pro with higher limits) and allows users to create without spending credits on everyday tasks like chat and ideation. Usage limits reset every 5 hours, and once exhausted, users can switch to Power Mode or Max Mode for more demanding work.
What are the key differences between Agent modes?
Free Mode handles daily tasks without credit consumption, Power Mode (formerly Economy Mode) balances speed and quality with optimized models at the same cost, and Max Mode uses higher-performance models for complex work, deeper reasoning, and longer builds.
Which technology powers Free Mode?
Free Mode is powered by OpenAI GPT-5.6 Luna, a model that enables Replit to offer more efficient operations with reduced costs to its platform and users.
- Comparing AI for web creation - one prompt, 11 models, vastly different results — netlify.com 77 % match
- Understanding is the new bottleneck — geoffreylitt.com 75 % match
- Mark Zuckerberg outlines a vision for the era of artificial intelligence in rare personal essay — meta.com 74 % match
- Replit
- OpenAI26
- GPT-5.6 Luna
- Amjad Masad
- Michele Catasta
- Databricks