AllocateKimi K2.7 Code 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.
Kimi K2.7 CodeP Pearl Gemma 4 31B InstructLabMoonshot AIPearl AI
AccessOpen weightsNot served on Allocate
Context window256K tokensn/a
List price, input$0.95 / M tokensNot served
List price, output$4 / M tokensNot served
Cached input$0.19 / M tokensn/a
LicenseNot listedNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Kimi K2.7 Code for
- Published cached-input pricing ($0.19 per M tokens)
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?
Kimi K2.7 Code: 262,144 tokens (256K) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune Kimi K2.7 Code or Pearl Gemma 4 31B Instruct?
Both publish open weights (Kimi K2.7 Code: Not listed; 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.