AllocateLlama Guard 4 12B vs GLM 5.2
Llama Guard 4 12B 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.
Llama Guard 4 12BG GLM 5.2LabMetaZ.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 Llama Guard 4 12B for
- Prompt and reply moderation
- Policy labelling
- Guardrails in front of agents
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 Llama Guard 4 12B.
Can I fine-tune Llama Guard 4 12B or GLM 5.2?
Both publish open weights (Llama Guard 4 12B: 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
Llama Guard 4 12B vs GLM 4.7 FP8GLM 5.2 vs GLM 4.7 FP8Llama Guard 4 12B vs Meta Llama 3.3 70B Instruct TurboGLM 5.2 vs Meta Llama 3.3 70B Instruct TurboLlama Guard 4 12B vs Llama 4 Scout Instruct (17Bx16E)GLM 5.2 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.