Comparisons /

Gemma 3n E4B Instruct vs GLM 4.7 FP8

Gemma 3n E4B Instruct is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

Gemma 3n E4B InstructG GLM 4.7 FP8
LabGoogleZ.ai
AccessNot served on AllocateOpen weights
Context windown/a198K tokens
List price, inputNot served$0.45 / M tokens
List price, outputNot served$2 / M tokens
Cached inputn/an/a
LicenseNot listedMIT
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

Choose Gemma 3n E4B Instruct for

  • Cheap classification
  • On-device and edge deployments
  • High-volume short prompts
Gemma 3n E4B Instruct details →

Choose GLM 4.7 FP8 for

  • Fine-tuning under a permissive license (MIT)
GLM 4.7 FP8 details →

Common questions

Which has the bigger context window?

GLM 4.7 FP8: 202,752 tokens (198K) against an unlisted window for Gemma 3n E4B Instruct.

Can I fine-tune Gemma 3n E4B Instruct or GLM 4.7 FP8?

Both publish open weights (Gemma 3n E4B Instruct: Not listed; GLM 4.7 FP8: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Run the numbers on your workload

Or do not choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.