AllocateLFM2.5 8B A1B vs GLM 5.2
LFM2.5 8B A1B 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.
L LFM2.5 8B A1BG GLM 5.2
LabLiquid 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 LFM2.5 8B A1B for
- High-volume extraction
- Latency-sensitive routes
- Edge deployments
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 LFM2.5 8B A1B.
Can I fine-tune LFM2.5 8B A1B or GLM 5.2?
Both publish open weights (LFM2.5 8B A1B: 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
LFM2.5 8B A1B vs GLM 4.7 FP8GLM 5.2 vs GLM 4.7 FP8GLM 5.2 vs GLM 5.1 FP4GLM 5.2 vs GLM 5.3LFM2.5 8B A1B 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.