Gemma 4 31B Model to parse invoices and analyze images
Google Chat and reasoning models Upgrade to use google/gemma-4-31b-it
This page describes the Gemma 4 31B model and what teams use it for. It is a dense, 31-billion-parameter multimodal model suited to document parsing, image and video understanding, and sustained reasoning over long context windows.
What it can do
- Reads images and screenshots
- Searches the live web and cites sources
- Thinks step by step on hard questions
- Understands video input
What people use it for
Parse invoices and extract fields
Feed batches of PDF invoices or photographed receipts and get structured fields (vendor, date, totals, line items) with image-aware parsing. Gemma 4 31B handles mixed text and images so fewer human corrections are needed on semi-structured documents.
Analyze product images and reviews together
Combine product photos, review text and ratings in a single conversation to surface defects, extract complaints and suggest label changes. The model’s vision inputs and long context make it practical for multi-source QA over a product record.
Read long technical docs and answer questions
Upload a long manual, design doc, or support threads and ask detailed follow-ups that reference earlier sections without re-sending text. The 31B dense variant is built for stronger reasoning across long context windows, useful for code review, spec extraction, and research summaries.
Why it is worth it
- Multimodal inputs: send images, video links and web context in the same chat.
- Long context window for single-session work on long documents and multi-file reviews.
- Dense 31B parameters give higher raw capability than smaller variants for reasoning tasks.
- Open-weight model lineage and documented benchmarks you can inspect before use.
Questions people ask
What is Gemma 4 31B good at compared to smaller models?
Gemma 4 31B is a dense 31-billion-parameter model that balances compute cost and capability. It performs better on vision-enabled document parsing, multi-step reasoning and long-context tasks than smaller Gemma variants, while remaining cheaper to run than very large proprietary models.
How does billing work on Katteb for this model?
On Katteb the Gemma 4 31B model is billed per message in credits. The page lists the model cost as 1 credit per message; Katteb accounts show exact credit usage per request in the chat UI. Do not assume dollar prices from this page.
Can it process images and video, and how long is the context window?
Yes. Gemma 4 31B supports text, images and video inputs and is recommended for tasks that mix modalities. The Gemma 4 family was released with extended context support for longer documents; check the model card for exact token limits before heavy production use.
