PaliGemma – Google’s Cutting-Edge Open Vision Language Model
What Happened
PaliGemma – Google’s Cutting-Edge Open Vision Language Model
Fordel's Take
Google released PaliGemma, a 3-7B vision-language model that takes a single image and text prompt, then outputs text. It runs on a single T4 GPU and beats Flamingo-80B on VQAv2 while training on 1/100th the data.
Most teams still pipe images through GPT-4V at $0.015 per 512×512 token; PaliGemma inference on Vertex costs ~$0.0003. Running a 24-frame video summary with GPT-4V burns $2.88; PaliGemma does it for five cents. Stop paying OpenAI for OCR and captioning work.
Build MVPs or batch jobs that need cheap, fast vision-to-text. Skip if you're doing real-time agents that need tool calling or reasoning.
What To Do
Deploy PaliGemma on Vertex AI instead of GPT-4V for bulk captioning because it slashes cost 50× and keeps latency under 200 ms
Cited By
React
Get the weekly AI digest
The stories that matter, with a builder's perspective. Every Thursday.
