Comparisons

OpenAI GPT-OSS 120B vs OpenAI GPT-OSS 20B

On provider list prices, OpenAI GPT-OSS 20B costs $0.05 per million input tokens against $0.15 for OpenAI GPT-OSS 120B: 3.0x apart. Output is $0.20 against $0.60 (3.0x). On Allocate both bill at list plus the 7% transaction fee.

OpenAI GPT-OSS 120B OpenAI GPT-OSS 20B
LabOpenAIOpenAI
AccessOpen weightsOpen weights
Context window128K tokens128K tokens
List price, input$0.15 / M tokens$0.05 / M tokens
List price, output$0.6 / M tokens$0.2 / M tokens
Cached inputn/an/a
LicenseCustom licenseApache 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 $390 on OpenAI GPT-OSS 120B at list: a gap of $260, or 3.0x.

OpenAI GPT-OSS 20B$0.05$0.20
OpenAI GPT-OSS 120B$0.15$0.60
InputOutput

Choose OpenAI GPT-OSS 120B for

  • Training toward a model you own
OpenAI GPT-OSS 120B 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, OpenAI GPT-OSS 120B 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 $0.15/$0.60 for OpenAI GPT-OSS 120B. Billed on Allocate: $0.053/$0.21 against $0.16/$0.64, list plus 7%.

Which has the bigger context window?

They match: both read 131,072 tokens (128K) per request.

Can I fine-tune OpenAI GPT-OSS 120B or OpenAI GPT-OSS 20B?

Both publish open weights (OpenAI GPT-OSS 120B: Custom license; 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

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.