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Comparisons

Llama Guard 4 12B vs Mistral (7B) Instruct v0.3

On provider list prices, Llama Guard 4 12B costs $0.20 per million input tokens against $0.20 for Mistral (7B) Instruct v0.3: effectively level. Output is $0.20 against $0.20. On Allocate both bill at list plus the 7% transaction fee.

Llama Guard 4 12B Mistral (7B) Instruct v0.3
LabMetamistralai
AccessOpen weightsOpen weights
Context window1M tokens32K tokens
List price, input$0.2 / M tokens$0.2 / M tokens
List price, output$0.2 / M tokens$0.2 / M tokens
Cached inputn/an/a
LicenseLlama communityApache 2.0
Fine-tunableYesYes

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 Mistral (7B) Instruct v0.3 at list: a gap of $0.

Llama Guard 4 12B reads 1M tokens per request against 32K for Mistral (7B) Instruct v0.3, 32.0x the window. That decides which one can take whole documents without splitting them.

Llama Guard 4 12B$0.20$0.20
Mistral (7B) Instruct v0.3$0.20$0.20
InputOutput

Choose Llama Guard 4 12B for

  • The longer context window (1M vs 32K tokens)
Llama Guard 4 12B details

Choose Mistral (7B) Instruct v0.3 for

  • Fine-tuning under a permissive license (Apache 2.0)
Mistral (7B) Instruct v0.3 details

Common questions

Which is cheaper, Llama Guard 4 12B or Mistral (7B) Instruct v0.3?

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 Mistral (7B) Instruct v0.3. 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 32,768 (32K) for Mistral (7B) Instruct v0.3.

Can I fine-tune Llama Guard 4 12B or Mistral (7B) Instruct v0.3?

Both publish open weights (Llama Guard 4 12B: Llama community; Mistral (7B) Instruct v0.3: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

Llama Guard 4 12B vs Meta Llama 3 8B Instruct ReferenceLlama Guard 4 12B vs Meta Llama 3.1 8BLlama Guard 4 12B vs Meta Llama 3 8B InstructLlama Guard 4 12B vs Mistral (7B) Instruct v0.1Llama Guard 4 12B vs Mistral Small (24B) Instruct 25.01Mistral (7B) Instruct v0.3 vs Meta Llama 3 8B Instruct Reference

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama Guard 4 12BMistral (7B) Instruct v0.3

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.

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