AllocateGemma 3n E4B Instruct vs GLM 5.2
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 5.2LabGoogleZ.ai
AccessNot served on AllocateOpen weights
Context windown/a1M tokens
List price, inputNot served$1.4 / M tokens
List price, outputNot served$4.4 / M tokens
Cached inputn/a$0.26 / M tokens
LicenseNot listedNot listed
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
Choose GLM 5.2 for
- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model
Common questions
Which has the bigger context window?
GLM 5.2: 1,048,575 tokens (1M) against an unlisted window for Gemma 3n E4B Instruct.
Can I fine-tune Gemma 3n E4B Instruct or GLM 5.2?
Both publish open weights (Gemma 3n E4B Instruct: Not listed; GLM 5.2: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Gemma 3n E4B Instruct vs GLM 4.7 FP8GLM 5.2 vs GLM 4.7 FP8GLM 5.2 vs GLM 5.1 FP4GLM 5.2 vs GLM 5.3Gemma 3n E4B Instruct vs Gemini 3.5 FlashGLM 5.2 vs Gemini 3.5 Flash
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.