AllocateMiniMax M3 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.
M MiniMax M3P Pearl Gemma 4 31B Instruct
LabMiniMaxAIPearl AI
AccessAPI onlyNot served on Allocate
Context window512K tokensn/a
List price, input$0.3 / M tokensNot served
List price, output$1.2 / M tokensNot served
Cached input$0.06 / M tokensn/a
LicenseProprietary APINot listed
Fine-tunableNoYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
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?
MiniMax M3: 524,288 tokens (512K) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune MiniMax M3 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. MiniMax M3 is a closed model served over API; its weights are not available.
Related comparisons
MiniMax M3 vs MiniMax M2.7 FP4MiniMax M3 vs OpenAI GPT-OSS 120BPearl Gemma 4 31B Instruct vs OpenAI GPT-OSS 120BMiniMax M3 vs Llama 4 Scout Instruct (17Bx16E)Pearl Gemma 4 31B Instruct vs Llama 4 Scout Instruct (17Bx16E)MiniMax M3 vs OpenAI GPT-OSS 20B
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.