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o3 Pro API: toman pricing and code

openai/o3-pro

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Input · per 1M tokens
5,802,500 toman
Output · per 1M tokens
23,210,000 toman
One 1,000-word request ≈
37,716 toman

You are billed for the usage the request actually reported. Prices follow the market. Web search: 2,901.25 toman / request.Pricing and top-ups

o3 Pro 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/o3-pro",
    "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"}}
      ]
    }]
  }'

What is o3 Pro good for?

o3 Pro comes from OpenAI; in uttapen you reach it with the model id "openai/o3-pro". It accepts up to 200,000 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 100,000 tokens. On price it sits in the "expensive" band — cheaper than 397 and dearer than 9 of the other paid models in the catalogue.

What it can do beyond plain text: 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; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.

Pricing is 5,802,500 toman per 1M input tokens and 23,210,000 per 1M output tokens. A 1,000-word round trip on o3 Pro lands near 37,716 toman. 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 Opus 4: o3 Pro works out roughly 1.1× more expensive, and its context window is the same size. 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 3 thousand-word requests on o3 Pro, and every 1,000 toman is about 27 words of round trip. A job with one million input tokens and one million output tokens comes to 29,012,500 toman in total. Filling this model's 200,000-token window costs 1,160,500 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "openai/o1", and choosing between those two is where most people hesitate. On a thousand-word request this variant works out 1.3× dearer (37,716 against 28,287 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. It does not support temperature, top_p, 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 Claude 3 Haiku at 200,000 tokens.

Good fits: work where the quality of the answer matters more than its cost, logic puzzles and code review, pulling text and fields out of images, agents that reach out to APIs and databases, extracting data against a fixed schema, analysing a long document or codebase in one request.

Provider's own description

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

Three real jobs, priced on this model

Each figure is derived from the prices above and moves when they do.

JobTokensCost
One chat turn with a medium history1,500 in + 400 out17,988 toman
Summarising a ten-page document4,000 in + 600 out37,136 toman
Classifying a thousand short rows120,000 in + 20,000 out1,160,500 toman

Frequently asked

How do I call o3 Pro 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/o3-pro". Nothing else in your code changes.
What does o3 Pro cost in toman?
5,802,500 toman per 1M input tokens and 23,210,000 toman per 1M output tokens; a 1,000-word request is around 37,716 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does o3 Pro take?
Up to 200,000 tokens per request, roughly 150k words. A single answer can reach 100,000 tokens.
Does o3 Pro 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.