AllocateLlama Guard 4 12B vs Inkling FP4
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 12B
Inkling FP4LabMetaThinking Machines
AccessNot served on AllocateOpen weights
Context windown/a512K tokens
List price, inputNot served$1 / M tokens
List price, outputNot served$4.05 / M tokens
Cached inputn/a$0.17 / M tokens
LicenseNot listedApache 2.0
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 Inkling FP4 for
- Fine-tuning under a permissive license (Apache 2.0)
- Published cached-input pricing ($0.17 per M tokens)
Common questions
Which has the bigger context window?
Inkling FP4: 524,288 tokens (512K) against an unlisted window for Llama Guard 4 12B.
Can I fine-tune Llama Guard 4 12B or Inkling FP4?
Both publish open weights (Llama Guard 4 12B: Not listed; Inkling FP4: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
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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.