LLM Reference

PaliGemma 3B 224

Released
2024-05-14
Last refreshed
2026-05-19
Status
Researched 24d ago
Open WeightsCommercial use with conditions

PaliGemma 3B 224 has model metadata, but missing tracked provider pricing keeps it from being a default production pick.

Use it for

  • Teams evaluating general LLM work
  • Workloads that can use a 128 context window

Do not use it for

  • Cost-sensitive launches that need sourced token pricing
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
PaliGemma
Released
2024-05-14
Context
128
Parameters
3B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
GemmaCommercial use with conditions
Training
finetuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing

No tracked provider token pricing is available yet.

About

PaliGemma 3B 224 is Google DeepMind's PaliGemma model. It offers a 128-token context window with weights openly available for self-hosting.

PaliGemma 3B 224 is an open-weight model in the PaliGemma family. The structured metadata tracks a 128-token context window. No headline benchmark score is tracked for PaliGemma 3B 224 yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

Provider price ladder

No tracked provider token pricing is available for this model yet.

Capabilities

No model capability flags are currently sourced.

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.