Google triples Gemini usage limits in Antigravity coding tool twice in one week after user complaints
Google has raised Gemini usage limits in its Antigravity coding tool by 3x twice within one week, responding to developers who hit new compute-based quotas within hours. The company also reset weekly quotas for all paid users twice, though limits remain lower than pre-restriction levels.
Google triples Gemini usage limits in Antigravity coding tool twice in one week after user complaints
Google has raised usage limits for Gemini models in its Antigravity coding tool by 3x twice this week after developers quickly hit newly implemented compute-based quotas.
The company first tripled rate limits on Wednesday, shortly after new restrictions went live earlier in the week. Users reported hitting their limits within one hour of working in Antigravity, a significant reduction from previous unlimited access.
Google tripled the weekly quota again on Thursday night. Varun Mohan, a Director at DeepMind working on Antigravity, acknowledged users could exhaust their weekly limits "after a couple work sessions." The company has reset quotas for all paid plan users twice this week.
New compute-based limits across Gemini
The usage restrictions were announced alongside multiple Gemini-related updates at Google I/O this week. The new compute-based limits apply across Gemini's various tools and capabilities, not just Antigravity.
Users expressed frustration at the sudden change from effectively unlimited usage to metered access. The quick adjustment in Antigravity suggests Google underestimated how rapidly developers would hit the initial caps during normal workflow.
Limits still lower than before
Despite two 3x increases, usage limits in Antigravity remain below pre-restriction levels, according to user reports. The constraints outside Antigravity remain unchanged at their initial levels.
Google has not disclosed specific numerical limits or pricing details for the compute-based quotas. The company also has not announced whether further adjustments are planned for other Gemini tools experiencing similar capacity issues.
What this means
The rapid double-increase reveals Google misjudged usage patterns for AI-powered coding workflows. Developers working with code completion and generation features consume significantly more model compute than casual chatbot interactions. The episode highlights the challenge AI companies face when transitioning from growth-phase unlimited access to sustainable usage metering—even a 9x increase from the initial limit may not restore previous functionality. Other AI coding tools like GitHub Copilot and Cursor may gain an advantage if Gemini's restrictions remain substantially lower than competitors.
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