AllocatePearl Gemma 4 31B Instruct vs GLM 5.2
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 5.2
LabPearl AIZ.ai
AccessNot served on AllocateOpen weights
Context windown/a1M tokens
List price, inputNot served$1.4 / M tokens
List price, outputNot served$4.4 / M tokens
Cached inputn/a$0.26 / M tokens
LicenseNot listedNot listed
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
Choose GLM 5.2 for
- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model
Common questions
Which has the bigger context window?
GLM 5.2: 1,048,575 tokens (1M) against an unlisted window for Pearl Gemma 4 31B Instruct.
Can I fine-tune Pearl Gemma 4 31B Instruct or GLM 5.2?
Both publish open weights (Pearl Gemma 4 31B Instruct: Not listed; GLM 5.2: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Pearl Gemma 4 31B Instruct vs GLM 4.7 FP8GLM 5.2 vs GLM 4.7 FP8GLM 5.2 vs GLM 5.1 FP4GLM 5.2 vs GLM 5.3Pearl Gemma 4 31B Instruct vs Kimi K2.5 Fp4GLM 5.2 vs Kimi K2.5 Fp4
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.