Llama Guard 4 12B vs Meta Llama 3.1 8B
On provider list prices, Llama Guard 4 12B costs $0.20 per million input tokens against $0.20 for Meta Llama 3.1 8B: effectively level. Output is $0.20 against $0.20. On Allocate both bill at list plus the 7% transaction fee.
Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $310 a month on Llama Guard 4 12B and $310 on Meta Llama 3.1 8B at list: a gap of $0.
Llama Guard 4 12B reads 1M tokens per request against 16K for Meta Llama 3.1 8B, 64.0x the window. That decides which one can take whole documents without splitting them.
Common questions
Which is cheaper, Llama Guard 4 12B or Meta Llama 3.1 8B?
Llama Guard 4 12B, on this workload shape. At list prices it is $0.20/$0.20 per million tokens in and out against $0.20/$0.20 for Meta Llama 3.1 8B. Billed on Allocate: $0.21/$0.21 against $0.21/$0.21, list plus 7%.
Which has the bigger context window?
Llama Guard 4 12B: 1,048,576 tokens (1M) against 16,384 (16K) for Meta Llama 3.1 8B.
Can I fine-tune Llama Guard 4 12B or Meta Llama 3.1 8B?
Both publish open weights (Llama Guard 4 12B: Llama community; Meta Llama 3.1 8B: Llama community), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Run the numbers on your workload
Or don’t 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.