AllocateDeepSeek R1 0528 NVFP4 vs Pearl Gemma 4 31B Instruct
Pearl Gemma 4 31B 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 R1 0528 NVFP4P Pearl Gemma 4 31B InstructLabDeepseekPearl AI
AccessOpen weightsNot served on Allocate
Context window160K tokensn/a
List price, input$3 / M tokensNot served
List price, output$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 R1 0528 NVFP4 for
- Fine-tuning under a permissive license (MIT)
Choose Pearl Gemma 4 31B Instruct for
- Long-document reasoning
- Open-weight fine-tuning
- Mid-size general work
Common questions
Which has the bigger context window?
DeepSeek R1 0528 NVFP4: 163,840 tokens (160K) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune DeepSeek R1 0528 NVFP4 or Pearl Gemma 4 31B Instruct?
Both publish open weights (DeepSeek R1 0528 NVFP4: MIT; Pearl Gemma 4 31B Instruct: Not listed), 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.