AllocateKimi K2.5 vs Llama Guard 4 12B
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.
Kimi K2.5
Llama Guard 4 12BLabTogethercomputerMeta
AccessOpen weightsNot served on Allocate
Context window256K tokensn/a
List price, input$0.5 / M tokensNot served
List price, output$2.8 / M tokensNot served
Cached inputn/an/a
LicenseNot listedNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Kimi K2.5 for
- Whole-document reasoning
- Long-context retrieval
- Open-weight fine-tuning
Choose Llama Guard 4 12B for
- Prompt and reply moderation
- Policy labelling
- Guardrails in front of agents
Common questions
Which has the bigger context window?
Kimi K2.5: 262,144 tokens (256K) against an unlisted window for Llama Guard 4 12B.
Can I fine-tune Kimi K2.5 or Llama Guard 4 12B?
Both publish open weights (Kimi K2.5: Not listed; Llama Guard 4 12B: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Kimi K2.5 vs Meta Llama 3.3 70B Instruct TurboLlama Guard 4 12B vs Meta Llama 3.3 70B Instruct TurboKimi K2.5 vs Llama 4 Scout Instruct (17Bx16E)Llama Guard 4 12B vs Llama 4 Scout Instruct (17Bx16E)Kimi K2.5 vs Meta Llama 3.1 405B InstructLlama Guard 4 12B vs Meta Llama 3.1 405B Instruct
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.