AllocateMeta Llama 3.3 70B Instruct Turbo 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.
Meta Llama 3.3 70B Instruct Turbo Llama Guard 4 12BLabMetaMeta
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$1.04 / M tokensNot served
List price, output$1.04 / M tokensNot served
Cached inputn/an/a
LicenseLlama communityNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Meta Llama 3.3 70B Instruct Turbo for
- Training toward a model you own
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?
Meta Llama 3.3 70B Instruct Turbo: 131,072 tokens (128K) against an unlisted window for Llama Guard 4 12B.
Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or Llama Guard 4 12B?
Both publish open weights (Meta Llama 3.3 70B Instruct Turbo: Llama community; 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
Meta Llama 3.3 70B Instruct Turbo vs Llama 4 Scout Instruct (17Bx16E)Llama Guard 4 12B vs Llama 4 Scout Instruct (17Bx16E)Meta Llama 3.3 70B Instruct Turbo vs Meta Llama 3.1 405B InstructLlama Guard 4 12B vs Meta Llama 3.1 405B InstructMeta Llama 3.3 70B Instruct Turbo vs OpenAI GPT-OSS 120BLlama Guard 4 12B vs OpenAI GPT-OSS 120B
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.