AllocatePearl Gemma 4 31B Instruct vs GLM 4.7 FP8
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.
P Pearl Gemma 4 31B InstructG GLM 4.7 FP8
LabPearl AIZ.ai
AccessNot served on AllocateOpen weights
Context windown/a198K tokens
List price, inputNot served$0.45 / M tokens
List price, outputNot served$2 / M tokens
Cached inputn/an/a
LicenseNot listedMIT
Fine-tunableYesYes
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?
GLM 4.7 FP8: 202,752 tokens (198K) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune Pearl Gemma 4 31B Instruct or GLM 4.7 FP8?
Both publish open weights (Pearl Gemma 4 31B Instruct: Not listed; GLM 4.7 FP8: MIT), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
GLM 4.7 FP8 vs GLM 4.6 Fp8Pearl Gemma 4 31B Instruct vs GLM 5.2GLM 4.7 FP8 vs GLM 5.2Pearl Gemma 4 31B Instruct vs MiniMax M3GLM 4.7 FP8 vs MiniMax M3Pearl Gemma 4 31B Instruct vs Llama 4 Scout Instruct (17Bx16E)
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.