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Comparisons

Llama 4 Scout vs Qwen2.5 7B Instruct Turbo

On provider list prices, Qwen2.5 7B Instruct Turbo costs $0.30 per million input tokens against $0.18 for Llama 4 Scout: effectively level. Output is $0.30 against $0.59 (2.0x). On Allocate both bill at list plus the 7% transaction fee.

Llama 4 Scout Qwen2.5 7B Instruct Turbo
LabMetaQwen
AccessOpen weightsOpen weights
Context window1M tokens32K tokens
List price, input$0.18 / M tokens$0.3 / M tokens
List price, output$0.59 / M tokens$0.3 / M tokens
Cached inputn/an/a
LicenseLlama communityQwen license
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 $422.50 a month on Llama 4 Scout and $465 on Qwen2.5 7B Instruct Turbo at list: a gap of $42.50.

Llama 4 Scout reads 1M tokens per request against 32K for Qwen2.5 7B Instruct Turbo, 32.0x the window. That decides which one can take whole documents without splitting them.

Llama 4 Scout$0.18$0.59
Qwen2.5 7B Instruct Turbo$0.30$0.30
InputOutput

Choose Llama 4 Scout for

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

Choose Qwen2.5 7B Instruct Turbo for

  • Training toward a model you own
Qwen2.5 7B Instruct Turbo details

Common questions

Which is cheaper, Llama 4 Scout or Qwen2.5 7B Instruct Turbo?

Llama 4 Scout, on this workload shape. At list prices it is $0.18/$0.59 per million tokens in and out against $0.30/$0.30 for Qwen2.5 7B Instruct Turbo. Billed on Allocate: $0.19/$0.63 against $0.32/$0.32, list plus 7%.

Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 32,768 (32K) for Qwen2.5 7B Instruct Turbo.

Can I fine-tune Llama 4 Scout or Qwen2.5 7B Instruct Turbo?

Both publish open weights (Llama 4 Scout: Llama community; Qwen2.5 7B Instruct Turbo: Qwen license), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

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Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 ScoutQwen2.5 7B Instruct Turbo

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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