AllocateDeepseek V3.1 NVFP4 vs Gemma 3n E4B Instruct
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.
Deepseek V3.1 NVFP4
Gemma 3n E4B InstructLabDeepSeekGoogle
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$0.6 / M tokensNot served
List price, output$1.7 / M tokensNot served
Cached inputn/an/a
LicenseMITNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Deepseek V3.1 NVFP4 for
- Fine-tuning under a permissive license (MIT)
Choose Gemma 3n E4B Instruct for
- Cheap classification
- On-device and edge deployments
- High-volume short prompts
Common questions
Which has the bigger context window?
Deepseek V3.1 NVFP4: 131,072 tokens (128K) against an unlisted window for Gemma 3n E4B Instruct.
Can I fine-tune Deepseek V3.1 NVFP4 or Gemma 3n E4B Instruct?
Both publish open weights (Deepseek V3.1 NVFP4: MIT; Gemma 3n E4B Instruct: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Deepseek V3.1 NVFP4 vs DeepSeek V4 ProGemma 3n E4B Instruct vs DeepSeek V4 ProDeepseek V3.1 NVFP4 vs Gemini 3.5 FlashGemma 3n E4B Instruct vs Gemini 3.5 FlashDeepseek V3.1 NVFP4 vs Gemini 3.1 ProGemma 3n E4B Instruct vs Gemini 3.1 Pro
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.