AllocateGemini 3.1 Pro 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.
Gemini 3.1 ProP Pearl Gemma 4 31B InstructLabGooglePearl AI
AccessAPI onlyNot served on Allocate
Context window1M tokensn/a
List price, input$2 / M tokensNot served
List price, output$12 / M tokensNot served
Cached inputn/an/a
LicenseProprietary APINot listed
Fine-tunableNoYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
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?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune Gemini 3.1 Pro or Pearl Gemma 4 31B Instruct?
Pearl Gemma 4 31B Instruct publishes open weights (Not listed) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.
Related comparisons
Gemini 3.1 Pro vs Gemini 3.5 FlashPearl Gemma 4 31B Instruct vs Gemini 3.5 FlashGemini 3.1 Pro vs Meta Llama 3.1 405B InstructPearl Gemma 4 31B Instruct vs Meta Llama 3.1 405B InstructGemini 3.1 Pro vs GLM 5.2Pearl Gemma 4 31B Instruct vs GLM 5.2
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.