Comparisons

Llama 4 Scout vs Inkling FP4

On provider list prices, Llama 4 Scout costs $0.18 per million input tokens against $1 for Inkling FP4: 5.6x apart. Output is $0.59 against $4.05 (6.9x).

Llama 4 Scout Inkling FP4
LabMetaThinking Machines
AccessOpen weightsOpen weights
Context window1M tokens512K tokens
List price, input$0.18 / M tokens$1 / M tokens
List price, output$0.59 / M tokens$4.05 / M tokens
Cached inputn/a$0.17 / M tokens
LicenseLlama communityApache 2.0
Fine-tunableYesYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $422.50 a month on Llama 4 Scout and $2,618 on Inkling FP4 at list: a gap of $2,195, or 6.2x.

Llama 4 Scout reads 1M tokens per request against 512K for Inkling FP4, 2.0x the window. That decides which one can take whole documents without splitting them.

Llama 4 Scout$0.18$0.59
Inkling FP4$1$4.05
InputOutput

Choose Llama 4 Scout for

  • Whole-document reasoning
  • High-volume extraction
  • Fine-tuning under the Llama 4 license
Llama 4 Scout details

Choose Inkling FP4 for

  • Fine-tuning under a permissive license (Apache 2.0)
  • Published cached-input pricing ($0.17 per M tokens)
Inkling FP4 details

Common questions

Which is cheaper, Llama 4 Scout or Inkling FP4?

Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $1/$4.05 for Inkling FP4. Billed on Allocate: $0.19/$0.63 against $1.07/$4.33.

Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 524,288 (512K) for Inkling FP4.

Can I fine-tune Llama 4 Scout or Inkling FP4?

Both publish open weights (Llama 4 Scout: Llama community; Inkling FP4: Apache 2.0), 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.