Resources // LLM Tokens
Google AI Studio (Gemini API)
Offer Free tier
Suits for Non-VC-backedVC-backed
Updated Jun 2026
The offer
- Access to Gemini models via a simple API key (no card to start); multimodal (text/image/audio/video) with a large context window
- Free tier, but as of ~April 2026 only Gemini 2.5 Flash and Flash-Lite are free; Pro-series models were removed from the free tier
- Typical free limits: Flash ~10 RPM / ~250 requests-per-day; Flash-Lite ~15 RPM / ~1,000 RPD (free quotas were cut in Dec 2025)
Who qualifies
- Data caveat: on the free tier, Google may use your prompts/responses to improve its products (with possible human review), so don't send confidential/client/IP data; opt out by enabling billing (paid tier)
- Production and higher limits need billing enabled in Google Cloud (Pro models are paid-only)
- Regional restrictions (EU/UK/CH apps must use the paid data-handling mode)
Community Insights
Google AI Studio and the Gemini API is the most generous free on-ramp among the big labs, good for learning, prototyping and multimodal experiments. The API is more consistent than Google’s fragmented “Gemini everywhere” front-ends. Two big 2026 caveats. First, the free tier tightened sharply (Pro models removed ~April 2026, quotas cut in Dec 2025, only Flash/Flash-Lite are free now). Second, and most important, free-tier inputs/outputs may be used to train Google’s models, with possible human review, so it is not safe for confidential or client data. For anything sensitive or production, enable billing (paid tier) or use Vertex AI.
Best Practices (from community tips)
- Use AI Studio for prototyping, not production. Track the daily caps (Flash ~250/day) and have a fallback model for longer sessions.
- Keep confidential code/IP/client data off the free tier. It can be used for training; move to a paid/Vertex setup for privacy.
- Access via the API, not the web/app surfaces. It is more consistent than the fragmented Gemini front-ends (which can silently downgrade to Flash).
- Expect heavy safety filtering. Be explicit about tone/genre if outputs feel too sanitized, and validate factual output.