Comparisons /

OpenAI GPT-OSS 120B 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.

OpenAI GPT-OSS 120BP Pearl Gemma 4 31B Instruct
LabOpenAIPearl AI
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$0.15 / M tokensNot served
List price, output$0.6 / M tokensNot served
Cached inputn/an/a
LicenseCustom licenseNot listed
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

Choose OpenAI GPT-OSS 120B for

  • Training toward a model you own
OpenAI GPT-OSS 120B details →

Choose Pearl Gemma 4 31B Instruct for

  • Long-document reasoning
  • Open-weight fine-tuning
  • Mid-size general work
Pearl Gemma 4 31B Instruct details →

Common questions

Which has the bigger context window?

OpenAI GPT-OSS 120B: 131,072 tokens (128K) against an unlisted window for Pearl Gemma 4 31B Instruct.

Can I fine-tune OpenAI GPT-OSS 120B or Pearl Gemma 4 31B Instruct?

Both publish open weights (OpenAI GPT-OSS 120B: Custom license; 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

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.