Gemma 3n vs Gemma 4

Gemma 3n is the smaller device-first branch; Gemma 4 is the newer flagship family with Apache-2.0 licensing and larger top-end capability.

This comparison covers pricing, capabilities, and the best-fit use cases for each tool — so you can shortlist faster.

At a glance

Gemma 3n preview

Gemma 3n

Device-first Gemma branch with multimodal support, long context, and efficient E2B/E4B variants.

Gemma 3n is Google’s on-device-optimized Gemma branch aimed at multimodal apps that need a better quality-to-footprint ratio than traditional dense models. It is the more mobile and edge-oriented choice in the current Gemma family, positioned between Gemma 3 and the newer Gemma 4 branch.

See Gemma 3n alternatives →

Gemma 4 preview

Gemma 4

Newest Gemma family with Apache-2.0 licensing, multimodal input, 256K context, and sparse on-device variants.

Gemma 4 is now the leading branch in Google's open Gemma family. It shifts the line to Apache-2.0 licensing, adds multimodal audio and vision support, and uses sparse on-device-friendly variants that make it more attractive than earlier Gemma branches for new local assistant builds.

See Gemma 4 alternatives →

Side-by-side comparison

Dimension Gemma 3n Gemma 4
Pricing model Free Free
Price range Free (open weights) Free (open weights)
API cost No required vendor API cost for local/self-hosted use. No required vendor API cost for local/self-hosted use.
Subscription cost No mandatory subscription for base model access. No mandatory subscription for base model access.
Pros
• Designed specifically for on-device deployment efficiency
• Handles text, image, audio, and video inputs in one family
• Long context and function calling are useful for app-style assistants
• Better fit than larger families for mobile or edge experiments
• Apache-2.0 licensing is simpler for commercial use than earlier Gemma branches
• 256K context is strong for larger document and app workflows
• One family handles audio, image, video, and text inputs
• Sparse architecture improves the quality-to-runtime tradeoff
Cons
• Gemma terms are still less permissive than Apache/MIT model releases
• Smaller ceiling than Gemma 4 or very large workstation-class VLMs
• Local runtime support can lag right after new releases
• 31B still needs serious local hardware compared with smaller VLM options
• Fresh releases can have uneven runtime support at first
• Multimodal QA is still necessary for production-critical outputs
Best for
• Multimodal local assistant workflows
• Privacy-sensitive visual assistant tasks
• Builders experimenting with vision-language tasks
• Multimodal local assistant workflows
• Multimodal document understanding
• Builders experimenting with vision-language tasks

Key difference

Gemma 3n's perspective: Gemma 3n is the smaller device-first branch; Gemma 4 is the newer flagship family with Apache-2.0 licensing and larger top-end capability.

Gemma 4's perspective: Gemma 4 is the higher-capability flagship branch with Apache-2.0 licensing; Gemma 3n is the smaller device-first branch optimized for tighter hardware.

When to pick each

Pick Gemma 3n when

  • Multimodal local assistant workflows
  • Privacy-sensitive visual assistant tasks
  • Builders experimenting with vision-language tasks

Pick Gemma 4 when

  • Multimodal local assistant workflows
  • Multimodal document understanding
  • Builders experimenting with vision-language tasks

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