Llama Guard 4 12B vs Meta Llama 3 8B Instruct
On provider list prices, Llama Guard 4 12B costs $0.20 per million input tokens against $0.20 for Meta Llama 3 8B Instruct: 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 8B Instruct at list: a gap of $0.
Llama Guard 4 12B reads 1M tokens per request against 8K for Meta Llama 3 8B Instruct, 128.0x 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 8B Instruct?
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 8B Instruct. 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 8,192 (8K) for Meta Llama 3 8B Instruct.
Can I fine-tune Llama Guard 4 12B or Meta Llama 3 8B Instruct?
Both publish open weights (Llama Guard 4 12B: Llama community; Meta Llama 3 8B Instruct: 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.