GPT-4o (2024-08-06) API: toman pricing and code
openai/gpt-4o-2024-08-06
visiontoolsjsonfilesYou are billed for the usage the request actually reported. Prices follow the market. Cached input: 362,656 toman / 1M.Pricing and top-ups
GPT-4o (2024-08-06) example: reading an image into JSON
The example is picked from this model's own capabilities. Drop in your key and it runs as is.
# tip: a data URI works too — base64 the file and prefix it with data:image/jpeg;base64,
curl https://api.uttapen.ir/v1/chat/completions \
-H "Authorization: Bearer sk-up-…" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-4o-2024-08-06",
"messages": [{
"role": "user",
"content": [
{"type": "text", "text": "Return only the invoice number and the total, as JSON."},
{"type": "image_url", "image_url": {"url": "https://example.com/factor.jpg"}}
]
}]
}'import base64, json
from openai import OpenAI
client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")
img = base64.b64encode(open("factor.jpg", "rb").read()).decode()
resp = client.chat.completions.create(
model="openai/gpt-4o-2024-08-06",
messages=[{
"role": "user",
"content": [
{"type": "text", "text": "Return the invoice number, the date and the total as JSON."},
{"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}},
],
}],
response_format={"type": "json_object"},
)
print(json.loads(resp.choices[0].message.content))import OpenAI from "openai";
import { readFileSync } from "node:fs";
const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const img = readFileSync("factor.jpg").toString("base64");
const resp = await client.chat.completions.create({
model: "openai/gpt-4o-2024-08-06",
messages: [{
role: "user",
content: [
{ type: "text", text: "Return the invoice number, the date and the total as JSON." },
{ type: "image_url", image_url: { url: `data:image/jpeg;base64,${img}` } },
],
}],
response_format: { type: "json_object" },
});
console.log(JSON.parse(resp.choices[0].message.content));What is GPT-4o (2024-08-06) good for?
GPT-4o (2024-08-06) comes from OpenAI; in uttapen you reach it with the model id "openai/gpt-4o-2024-08-06". It accepts up to 128,000 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 16,384 tokens. On price it sits in the "mid-range" band — cheaper than 322 and dearer than 84 of the other paid models in the catalogue.
Capabilities available on this id: it reads images directly, which makes it a real option for invoices, forms and screenshots; it takes files such as PDFs as input; it supports tool calling, so it can invoke your own functions with valid arguments; it returns schema-valid JSON through response_format, ready to hand to your code. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper.
For a back-of-envelope figure: about 4,715 toman per 1,000-word exchange (725,313 in, 2,901,250 out, per 1M tokens). It supports cached input: repeated context is billed at 362,656 toman per 1M, which matters a lot if your system prompt is long. You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.
The closest alternative with the same capabilities from a different provider is Claude Sonnet 5: GPT-4o (2024-08-06) works out roughly 1× more expensive, and its context window is smaller. Both run on the same key and the same code, so trying the other one is a single string change.
To make the figure concrete: 100,000 toman of credit buys roughly 21 thousand-word requests on GPT-4o (2024-08-06), and every 1,000 toman is about 212 words of round trip. A job with one million input tokens and one million output tokens comes to 3,626,563 toman in total. Filling this model's 128,000-token window costs 92,840 toman on the input side alone, which is the real reason to keep conversation history short.
Its nearest relative in the catalogue is "openai/gpt-4o", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (4,715 and 4,715 toman).
OpenAI has 95 models in our catalogue; the cheapest is gpt-oss-20b at 60 toman per thousand words and the dearest o1-pro at 282,872. Among the less common parameters it accepts logit_bias, logprobs, max_completion_tokens, prediction, top_logprobs, web_search_options — all through the standard request body. It does not support include_reasoning, reasoning, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is Nova Micro 1.0 at 128,000 tokens.
What to use it for: product chatbots and internal assistants, where cost and quality have to balance, pulling text and fields out of images, agents that reach out to APIs and databases, extracting data against a fixed schema.
The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...
Three real jobs, priced on this model
Each figure is derived from the prices above and moves when they do.
| Job | Tokens | Cost |
|---|---|---|
| One chat turn with a medium history | 1,500 in + 400 out | 2,248 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 4,642 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 145,063 toman |
Frequently asked
- How do I call GPT-4o (2024-08-06) from Iran?
- Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "openai/gpt-4o-2024-08-06". Nothing else in your code changes.
- What does GPT-4o (2024-08-06) cost in toman?
- 725,313 toman per 1M input tokens and 2,901,250 toman per 1M output tokens; a 1,000-word request is around 4,715 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does GPT-4o (2024-08-06) take?
- Up to 128,000 tokens per request, roughly 96k words. A single answer can reach 16,384 tokens.
- Does GPT-4o (2024-08-06) support streaming and tool calling?
- Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Image input is accepted through image_url, as a data URI or a public URL. Structured output through response_format works too.