GPT-OSS 20B vs Llama 3.3 70B Instruct

	GPT-OSS 20B	Llama 3.3 70B Instruct
Provider	OpenAI	Meta
Model id	`openai/gpt-oss-20b`	`meta-llama/Llama-3.3-70B-Instruct-Turbo`
Input price	$0.07 / 1M tokens	$1.35 / 1M tokens
Output price	$0.27 / 1M tokens	$1.35 / 1M tokens
Context window	131K tokens	131K tokens
Capabilities	Chat, Reasoning, Tool calling	Chat, Tool calling, JSON mode, Multilingual
Weights	Open	Open
Availability	Coming soon	Available on Inference APIs
Rate limits	No daily caps; pay per request	No daily caps; pay per request
Time to first token	not measured	1.29 s
Output speed	not measured	67.5 tokens / s

Cost for 1M input + 1M output tokens

GPT-OSS 20B

$0.34

Llama 3.3 70B Instruct

$2.7

GPT-OSS 20B is about 87% cheaper for this workload at list price.

Measured speed

Speed figures for Inference APIs models are medians of three runs from a European client on 2026-09-16, against the public endpoint, using a ~120-word generation prompt (chat), a 300-character paragraph (speech) or a -second clip (transcription). External models are not measured here; treat "not measured" as unknown, not slow.

When to pick which

GPT-OSS 20B — The small GPT-OSS model: fast and inexpensive for lightweight assistants and classification.
Llama 3.3 70B Instruct — Meta's instruction-tuned 70B model. Still served here after its retirement on Groq — the same llama-3.3-70b-versatile id works unchanged.

Try GPT-OSS 20B

Same OpenAI request shape; the change is the base URL and key. Full parameters, aliases and pricing on the model page.

curl https://api.inferenceapis.com/v1/chat/completions \
  -H "Authorization: Bearer $INFERENCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-oss-20b",
    "messages": [
      {"role": "system", "content": "You are a helpful assistant."},
      {"role": "user", "content": "Hello! What can you do?"}
    ]
  }'

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.inferenceapis.com/v1",
    api_key=os.environ["INFERENCE_API_KEY"],
)
response = client.chat.completions.create(
    model="openai/gpt-oss-20b",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Hello! What can you do?"},
    ],
)
print(response.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.inferenceapis.com/v1",
  apiKey: process.env.INFERENCE_API_KEY,
});
const response = await client.chat.completions.create({
  model: "openai/gpt-oss-20b",
  messages: [
    { role: "system", content: "You are a helpful assistant." },
    { role: "user", content: "Hello! What can you do?" },
  ],
});
console.log(response.choices[0].message.content);

External prices and limits come from the linked provider pages and were verified on 2026-09-16. Spotted a change? Tell us.