LLM Reference

Gemma 3n

Released
2025-03-12
Last refreshed
2026-06-15
Status
Researched 120d ago
Open weightsCommercial use: conditionalClassificationJSON / Tool use

Gemma 3n is worth evaluating for classification and json / tool use when its provider route and context window match the workload.

Use it for

  • Teams evaluating classification and json / tool use
  • Workloads that can use a 32k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • Vision or document-understanding workloads
Specifications
Family
Gemma 3
Released
2025-03-12
Context
32k
Architecture
Decoder Only
Knowledge cutoff
2024-06
Specialization
general
Openness
Open weights
License
GemmaCommercial use: conditional
Weights
Unknown
Code
Unknown
Training
Pretrained
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
Free
Input / 1M
Free

Cheapest of 2 routes · GCP Vertex AI

About

Open model variant of Gemma 3 optimized for efficient performance on everyday devices like mobile phones, laptops, and tablets. Built on Gemini technology.

Top use-case fit

Classification

Included by capability and metadata signals in the decision map.

JSON / Tool use

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
GCP Vertex AIFreeFree
Serverless
Google AI StudioFreeFree
Serverless

Available via routers & gateways(13)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

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

Migration checks

No linked migration route is available for this model yet.

Compare Gemma 3n with other models