Comparisons /

Meta Llama 3.1 405B Instruct 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.

Meta Llama 3.1 405B InstructP Pearl Gemma 4 31B Instruct
LabMetaPearl AI
AccessOpen weightsNot served on Allocate
Context window4K tokensn/a
List price, input$3.5 / M tokensNot served
List price, output$3.5 / M tokensNot served
Cached inputn/an/a
LicenseLlama communityNot listed
Fine-tunableYesYes

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

Choose Meta Llama 3.1 405B Instruct for

  • Training toward a model you own
Meta Llama 3.1 405B Instruct 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?

Meta Llama 3.1 405B Instruct: 4,096 tokens (4K) against an unlisted window for Pearl Gemma 4 31B Instruct.

Can I fine-tune Meta Llama 3.1 405B Instruct or Pearl Gemma 4 31B Instruct?

Both publish open weights (Meta Llama 3.1 405B Instruct: Llama community; 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.