Deepseek V3.1 NVFP4 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.
LabDeepSeekMeta
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$0.6 / M tokensNot served
List price, output$1.7 / M tokensNot served
Cached inputn/an/a
LicenseMITNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Deepseek V3.1 NVFP4 for
- Fine-tuning under a permissive license (MIT)
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?
Deepseek V3.1 NVFP4: 131,072 tokens (128K) against an unlisted window for Llama Guard 4 12B.
Can I fine-tune Deepseek V3.1 NVFP4 or Llama Guard 4 12B?
Both publish open weights (Deepseek V3.1 NVFP4: MIT; 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
Deepseek V3.1 NVFP4 vs Llama 4 Scout Instruct (17Bx16E)Llama Guard 4 12B vs Llama 4 Scout Instruct (17Bx16E)Deepseek V3.1 NVFP4 vs Meta Llama 3.3 70B Instruct TurboLlama Guard 4 12B vs Meta Llama 3.3 70B Instruct TurboDeepseek V3.1 NVFP4 vs DeepSeek V4 ProLlama Guard 4 12B vs DeepSeek V4 Pro
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.