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GPT-OSS 120B vs GPT-OSS 120B on Groq

The same open weights served by two hosts. The model answers the same way on both; what differs is the price, the limits that apply to your account, and what happens when you outgrow a free tier.

Groq figures are public list prices and documented limits, checked 2026-09-16 against the provider page. Inference APIs prices are read live from the price list.

Short answer
  • Cost: GPT-OSS 120B on Groq is cheaper in all three workloads, by 7–21%.
  • Limits: Groq: Free tier: 30 requests/min, 1,000 requests/day, 8,000 tokens/min, 200,000 tokens/day. Developer-tier upgrades were paused when we checked (Sep 2026). Here: no per-minute or per-day caps.
  • Switching: same model id on both, so moving is a base URL and key change.

Side by side

GPT-OSS 120BGPT-OSS 120B on Groq
Served byInference APIsGroq
Model authorOpenAIOpenAI
Model idopenai/gpt-oss-120bopenai/gpt-oss-120b
Input price$0.20 / 1M tokens$0.15 / 1M tokens
Output price$0.80 / 1M tokens$0.75 / 1M tokens
Context window131K tokens131K tokens
CapabilitiesChat, Reasoning, Tool calling, JSON modeChat, Reasoning, Tool calling, JSON mode
WeightsOpenOpen
StatusAvailableAvailable
LimitsNo per-minute or per-day request or token caps; usage draws on a prepaid balanceFree tier: 30 requests/min, 1,000 requests/day, 8,000 tokens/min, 200,000 tokens/day. Developer-tier upgrades were paused when we checked (Sep 2026).
Time to first token0.46 snot measured by us
Output speed45.8 tokens / snot measured by us

What three workloads cost

List prices applied to the same work. The cheaper side of each row is in bold.

WorkloadGPT-OSS 120BGPT-OSS 120B on GroqDifference
Chat assistant — 10,000 turns of 800 tokens in, 300 out$4.00$3.4514%
Long prompts or RAG — 10,000 requests of 8,000 in, 500 out$20.00$15.7521%
Generation-heavy — 10,000 requests of 500 in, 2,000 out$17.00$15.757%

GPT-OSS 120B on Groq is cheaper in all three workloads, by 7–21%. Reasoning models bill their thinking as output tokens, so real output counts run higher than the visible answer; treat the generation-heavy row as a floor for them.

When to choose which

Choose GPT-OSS 120B here if
  • You have outgrown the free tier and cannot upgrade
Choose GPT-OSS 120B on Groq if
  • Cost is the deciding factor; it is cheaper in every workload above
  • Your volume fits the free tier, or you already have a Developer-tier account
  • Raw output speed is the priority; Groq's hardware is built for it

Measured speed

Medians of three streamed runs on 2026-09-17, public endpoint, a prompt that asks for about 120 words. Time to first token is the first token of any kind, reasoning included; output speed counts every generated token from that point. Reasoning models then think before the visible answer starts: GPT-OSS 120B began answering after 1.38 s at default settings, which you can shorten with the reasoning controls on each model page. Expect ±30% with time of day. We did not measure Groq and do not quote other people's numbers; read "not measured" as unknown, not slow. Method and raw numbers: speed measurements.

Switching from Groq

The model id is accepted unchanged, so the edit is the base URL and the key.

Python · openai SDK
import os
from openai import OpenAI

# before: Groq
# client = OpenAI(base_url="https://api.groq.com/openai/v1", api_key=os.environ["GROQ_API_KEY"])
# MODEL = "openai/gpt-oss-120b"

# after: Inference APIs
client = OpenAI(base_url="https://api.inferenceapis.com/v1", api_key=os.environ["INFERENCE_API_KEY"])
MODEL = "openai/gpt-oss-120b"

resp = client.chat.completions.create(model=MODEL, messages=[{"role": "user", "content": "Hello"}], max_tokens=500)

More detail, including Node, LangChain and LiteLLM: switching OpenAI-compatible providers.

FAQ

Which is cheaper, GPT-OSS 120B or GPT-OSS 120B on Groq?

GPT-OSS 120B on Groq is cheaper in all three workloads, by 7–21%. The table above uses list prices: GPT-OSS 120B $0.20 / 1M tokens input, $0.80 / 1M tokens output; GPT-OSS 120B on Groq $0.15 / 1M tokens input, $0.75 / 1M tokens output.

Can I switch from GPT-OSS 120B on Groq to GPT-OSS 120B without rewriting code?

Yes, if you call it through an OpenAI-compatible client. Change the base URL to https://api.inferenceapis.com/v1, swap the API key, and keep the model id: openai/gpt-oss-120b is accepted as is.

What limits apply to GPT-OSS 120B on Groq?

Free tier: 30 requests/min, 1,000 requests/day, 8,000 tokens/min, 200,000 tokens/day. Developer-tier upgrades were paused when we checked (Sep 2026). On Inference APIs there are no per-minute or per-day request or token caps; usage draws on a prepaid balance.

Why does GPT-OSS 120B use more output tokens than the visible answer?

It is a reasoning model: it thinks before it answers and the thinking is billed as output tokens. Budget for that in output-heavy workloads, and set max_tokens to a few hundred or more so the answer is not cut off.

Spotted a price or limit that has changed? Tell us and we will re-check the provider page.