I’m unhappy with Google Maps Platform pricing for high-volume autocomplete

If you’re seeing Google Maps Platform autocomplete costs climb, you’re not alone—autocomplete can get expensive fast at high volume.

A few practical options to reduce cost:

1. Use session tokens correctly

   • Group keystrokes and the final place selection into a single billing session.
   • This is the biggest easy win if you aren’t already doing it.

2. Reduce calls per user

   • Add a small input debounce.
   • Don’t request predictions on every keystroke if the input is too short.
   • Trigger only after 3+ characters, if your UX allows.

3. Tighten the autocomplete scope

   • Restrict by country, region, or bounds.
   • Fewer broad predictions can mean fewer wasted API calls.

4. Cache where appropriate

   • If your use case has repeated queries, cache recent predictions carefully.
   • Be mindful of policy and data retention rules.

5. Consider alternatives Depending on your product needs, you could look at:

   • Mapbox Search
   • HERE Geocoding & Search
   • TomTom Search
   • OpenStreetMap-based providers / self-hosted Nominatim or Pelias
   • A hybrid approach: your own lightweight search plus a geocoder fallback

6. Re-evaluate whether you need full Places autocomplete

   • Sometimes address lookup can be handled cheaper with:
     • address validation tools
     • geocoding APIs
     • postal lookup datasets
     • internal lookup for known locations

If you want, I can help you with one of these:

• compare Google vs alternatives for autocomplete cost,
• estimate your current spend and where it’s coming from,
• or design a lower-cost autocomplete architecture.