Allocate
ModelsSign inTalk to sales
Comparisons

Llama 4 Scout vs OpenAI GPT-OSS 20B

On provider list prices, OpenAI GPT-OSS 20B costs $0.05 per million input tokens against $0.18 for Llama 4 Scout: 3.6x apart. Output is $0.20 against $0.59 (2.9x). On Allocate both bill at list plus the 7% transaction fee.

Llama 4 Scout OpenAI GPT-OSS 20B
LabMetaOpenAI
AccessOpen weightsOpen weights
Context window1M tokens128K tokens
List price, input$0.18 / M tokens$0.05 / M tokens
List price, output$0.59 / 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 $130 a month on OpenAI GPT-OSS 20B and $422.50 on Llama 4 Scout at list: a gap of $292.50, or 3.3x.

Llama 4 Scout reads 1M tokens per request against 128K for OpenAI GPT-OSS 20B, 8.0x the window. That decides which one can take whole documents without splitting them.

OpenAI GPT-OSS 20B$0.05$0.20
Llama 4 Scout$0.18$0.59
InputOutput

Choose Llama 4 Scout for

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

Choose OpenAI GPT-OSS 20B for

  • The lower list price ($0.05 in / $0.20 out per M tokens)
  • Fine-tuning under a permissive license (Apache 2.0)
OpenAI GPT-OSS 20B details

Common questions

Which is cheaper, Llama 4 Scout or OpenAI GPT-OSS 20B?

OpenAI GPT-OSS 20B, on this workload shape. At list prices it is $0.05/$0.20 per million tokens in and out against $0.18/$0.59 for Llama 4 Scout. Billed on Allocate: $0.053/$0.21 against $0.19/$0.63, list plus 7%.

Which has the bigger context window?

Llama 4 Scout: 1,048,576 tokens (1M) against 131,072 (128K) for OpenAI GPT-OSS 20B.

Can I fine-tune Llama 4 Scout or OpenAI GPT-OSS 20B?

Both publish open weights (Llama 4 Scout: Llama community; OpenAI GPT-OSS 20B: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

Related comparisons

OpenAI GPT-OSS 20B vs Meta Llama 3 8B Instruct LiteLlama 4 Scout vs OpenAI GPT-OSS 120BOpenAI GPT-OSS 20B vs OpenAI GPT-OSS 120BLlama 4 Scout vs Meta Llama 3.3 70B Instruct TurboOpenAI GPT-OSS 20B vs Meta Llama 3.3 70B Instruct TurboLlama 4 Scout vs Meta Llama 3.1 405B Instruct

Run the numbers on your workload

LLM price comparisonAgent cost calculatorLlama 4 ScoutOpenAI GPT-OSS 20B

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.

Route both modelsTalk to sales