AllocateGemma 3n E4B Instruct vs Inkling FP4
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 Instruct
Inkling FP4LabGoogleThinking Machines
AccessNot served on AllocateOpen weights
Context windown/a512K tokens
List price, inputNot served$1 / M tokens
List price, outputNot served$4.05 / M tokens
Cached inputn/a$0.17 / M tokens
LicenseNot listedApache 2.0
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 Inkling FP4 for
- Fine-tuning under a permissive license (Apache 2.0)
- Published cached-input pricing ($0.17 per M tokens)
Common questions
Which has the bigger context window?
Inkling FP4: 524,288 tokens (512K) against an unlisted window for Gemma 3n E4B Instruct.
Can I fine-tune Gemma 3n E4B Instruct or Inkling FP4?
Both publish open weights (Gemma 3n E4B Instruct: Not listed; Inkling FP4: Apache 2.0), 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 Gemini 3.5 FlashInkling FP4 vs Gemini 3.5 FlashGemma 3n E4B Instruct vs Gemini 3.1 ProInkling FP4 vs Gemini 3.1 ProGemma 3n E4B Instruct vs GLM 4.7 FP8Inkling FP4 vs GLM 4.7 FP8
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.