About
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs.
Pricing
| Input | $1.75 | per 1M prompt tokens |
|---|---|---|
| Output | $7.00 | per 1M generated tokens, reasoning included |
| Cached input | $0.88 | per 1M tokens read back from the prompt cache |
| Web search | $0.014 | per request that uses the provider’s built-in search |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0054 | $5.42 |
| Question over a long document40,000 in · 800 out | $0.076 | $75.60 |
| Agent tool step20,000 in · 1,200 out | $0.043 | $43.40 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #1203DModel arenaElo 86939% wins
- #127UI componentsModel arenaElo 88538% wins
- #129Data vizModel arenaElo 85836% wins
- #129Game devModel arenaElo 90942% wins
- #133CodeModel arenaElo 86235% wins
- #139WebsitesModel arenaElo 83332% wins
Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o:batch",
"messages": [{ "role": "user", "content": "Hello" }]
}'
Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="openai/gpt-4o:batch",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "openai/gpt-4o:batch",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);
Parameters this model accepts
frequency_penaltylogit_biaslogprobsmax_tokenspredictionpresence_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_logprobstop_pweb_search_options