Llama 4 Scout vs OpenAI GPT-OSS 120B
On provider list prices, OpenAI GPT-OSS 120B costs $0.15 per million input tokens against $0.18 for Llama 4 Scout: 1.2x apart. Output is $0.60 against $0.59. 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 $390 a month on OpenAI GPT-OSS 120B and $422.50 on Llama 4 Scout at list: a gap of $32.50.
Llama 4 Scout reads 1M tokens per request against 128K for OpenAI GPT-OSS 120B, 8.0x the window. That decides which one can take whole documents without splitting them.
Choose Llama 4 Scout for
- Whole-document reasoning
- High-volume extraction
- Fine-tuning under the Llama 4 license
Choose OpenAI GPT-OSS 120B for
- The lower list price ($0.15 in / $0.60 out per M tokens)
Common questions
Which is cheaper, Llama 4 Scout or OpenAI GPT-OSS 120B?
OpenAI GPT-OSS 120B, on this workload shape. At list prices it is $0.15/$0.60 per million tokens in and out against $0.18/$0.59 for Llama 4 Scout. Billed on Allocate: $0.16/$0.64 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 120B.
Can I fine-tune Llama 4 Scout or OpenAI GPT-OSS 120B?
Both publish open weights (Llama 4 Scout: Llama community; OpenAI GPT-OSS 120B: Custom license), 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.