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Gemini 2.5 Pro Preview 05-06 API: toman pricing and code

google/gemini-2.5-pro-preview-05-06

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Input · per 1M tokens
362,656 toman
Output · per 1M tokens
2,901,250 toman
One 1,000-word request ≈
4,243 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 36,266 toman / 1M. Reasoning tokens: 2,901,250 toman / 1M. Per input image: 0.36 toman. Web search: 4,061.75 toman / request.Pricing and top-ups

Gemini 2.5 Pro Preview 05-06 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": "google/gemini-2.5-pro-preview-05-06",
    "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"}}
      ]
    }]
  }'

What is Gemini 2.5 Pro Preview 05-06 good for?

Gemini 2.5 Pro Preview 05-06 comes from Google; in uttapen you reach it with the model id "google/gemini-2.5-pro-preview-05-06". It accepts up to 1,048,576 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 65,535 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.

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 accepts audio 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 362,656 toman per 1M input tokens and 2,901,250 per 1M output tokens. A 1,000-word round trip on Gemini 2.5 Pro Preview 05-06 lands near 4,243 toman. It supports cached input: repeated context is billed at 36,266 toman per 1M, which matters a lot if your system prompt is long. Each input image is billed separately at about 0.36 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 Sonnet 5: Gemini 2.5 Pro Preview 05-06 works out roughly 1.1× cheaper, and its context window is larger. 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 24 thousand-word requests on Gemini 2.5 Pro Preview 05-06, and every 1,000 toman is about 236 words of round trip. A job with one million input tokens and one million output tokens comes to 3,263,906 toman in total. Filling this model's 1,048,576-token window costs 380,273 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "google/gemini-2.5-pro", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (4,243 and 4,243 toman). Maximum answer length differs as well: 65,535 against 65,536 tokens.

Google has 45 models in our catalogue; the cheapest is Gemma 3 4B at 57 toman per thousand words and the dearest Google Gemini Pro Latest at 5,280. By context size the nearest option from another provider is DeepSeek V4 Flash 0423 at 1,048,576 tokens.

Good fits: product chatbots and internal assistants, where cost and quality have to balance, 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

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

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 out1,704 toman
Summarising a ten-page document4,000 in + 600 out3,191 toman
Classifying a thousand short rows120,000 in + 20,000 out101,544 toman

Frequently asked

How do I call Gemini 2.5 Pro Preview 05-06 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 "google/gemini-2.5-pro-preview-05-06". Nothing else in your code changes.
What does Gemini 2.5 Pro Preview 05-06 cost in toman?
362,656 toman per 1M input tokens and 2,901,250 toman per 1M output tokens; a 1,000-word request is around 4,243 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Gemini 2.5 Pro Preview 05-06 take?
Up to 1,048,576 tokens per request, roughly 786k words. A single answer can reach 65,535 tokens.
Does Gemini 2.5 Pro Preview 05-06 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.