Comparisons

Meta Llama 3.3 70B Instruct Turbo vs OpenAI GPT-OSS 120B

On provider list prices, OpenAI GPT-OSS 120B costs $0.15 per million input tokens against $1.04 for Meta Llama 3.3 70B Instruct Turbo: 6.9x apart. Output is $0.60 against $1.04 (1.7x). On Allocate both bill at list plus the 7% transaction fee.

Meta Llama 3.3 70B Instruct Turbo OpenAI GPT-OSS 120B
LabMetaOpenAI
AccessOpen weightsOpen weights
Context window128K tokens128K tokens
List price, input$1.04 / M tokens$0.15 / M tokens
List price, output$1.04 / M tokens$0.6 / M tokens
Cached inputn/an/a
LicenseLlama communityCustom 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 $390 a month on OpenAI GPT-OSS 120B and $1,612 on Meta Llama 3.3 70B Instruct Turbo at list: a gap of $1,222, or 4.1x.

OpenAI GPT-OSS 120B$0.15$0.60
Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
InputOutput

Choose Meta Llama 3.3 70B Instruct Turbo for

  • Training toward a model you own
Meta Llama 3.3 70B Instruct Turbo details

Choose OpenAI GPT-OSS 120B for

  • The lower list price ($0.15 in / $0.60 out per M tokens)
OpenAI GPT-OSS 120B details

Common questions

Which is cheaper, Meta Llama 3.3 70B Instruct Turbo 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 $1.04/$1.04 for Meta Llama 3.3 70B Instruct Turbo. Billed on Allocate: $0.16/$0.64 against $1.11/$1.11, list plus 7%.

Which has the bigger context window?

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

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or OpenAI GPT-OSS 120B?

Both publish open weights (Meta Llama 3.3 70B Instruct Turbo: 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.