AllocateGemma 3n E4B Instruct vs Qwen 3.5
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
Qwen 3.5LabGoogleQwen
AccessNot served on AllocateOpen weights
Context windown/a256K tokens
List price, inputNot served$0.6 / M tokens
List price, outputNot served$3.6 / M tokens
Cached inputn/a$0.35 / 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 Qwen 3.5 for
- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0
Common questions
Which has the bigger context window?
Qwen 3.5: 262,144 tokens (256K) against an unlisted window for Gemma 3n E4B Instruct.
Can I fine-tune Gemma 3n E4B Instruct or Qwen 3.5?
Both publish open weights (Gemma 3n E4B Instruct: Not listed; Qwen 3.5: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
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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.