AllocateLFM2.5 8B A1B vs GLM 4.7 FP8
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 4.7 FP8
LabLiquid 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 LFM2.5 8B A1B for
- High-volume extraction
- Latency-sensitive routes
- Edge deployments
Common questions
Which has the bigger context window?
GLM 4.7 FP8: 202,752 tokens (198K) against an unlisted window for LFM2.5 8B A1B.
Can I fine-tune LFM2.5 8B A1B or GLM 4.7 FP8?
Both publish open weights (LFM2.5 8B A1B: 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 Fp8LFM2.5 8B A1B vs GLM 5.2GLM 4.7 FP8 vs GLM 5.2LFM2.5 8B A1B vs MiniMax M3GLM 4.7 FP8 vs MiniMax M3LFM2.5 8B A1B 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.