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Gemma 2 27B API: toman pricing and code

google/gemma-2-27b-it

json
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Input · per 1M tokens
188,581 toman
Output · per 1M tokens
188,581 toman
One 1,000-word request ≈
490 toman

You are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups

Gemma 2 27B example: JSON output against a schema

The example is picked from this model's own capabilities. Drop in your key and it runs as is.

from openai import OpenAI
import json

client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")

schema = {
    "name": "ticket",
    "schema": {
        "type": "object",
        "properties": {
            "category": {"type": "string", "enum": ["fani", "mali", "forush"]},
            "priority": {"type": "integer", "minimum": 1, "maximum": 5},
            "summary": {"type": "string"},
        },
        "required": ["category", "priority", "summary"],
        "additionalProperties": False,
    },
    "strict": True,
}

resp = client.chat.completions.create(
    model="google/gemma-2-27b-it",
    messages=[{"role": "user", "content": "Ticket: "For two days I cannot download my invoice and I was charged twice.""}],
    response_format={"type": "json_schema", "json_schema": schema},
)
print(json.loads(resp.choices[0].message.content))

What is Gemma 2 27B good for?

Gemma 2 27B is one of Google's models. Put "google/gemma-2-27b-it" in the model field and the rest of your code stays as it is. Gemma 2 27B keeps 8,192 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 2,048 tokens. On price it sits in the "cheap" band — cheaper than 108 and dearer than 298 of the other paid models in the catalogue.

What it can do beyond plain text: 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.

Pricing is 188,581 toman per 1M input tokens and 188,581 per 1M output tokens. A 1,000-word round trip on Gemma 2 27B lands near 490 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 ReMM SLERP 13B: Gemma 2 27B works out roughly 1.3× more expensive, 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 204 thousand-word requests on Gemma 2 27B, and every 1,000 toman is about 2,041 words of round trip. A job with one million input tokens and one million output tokens comes to 377,163 toman in total. Filling this model's 8,192-token window costs 1,545 toman on the input side alone, which is the real reason to keep conversation history short.

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. Among the less common parameters it accepts repetition_penalty — all through the standard request body. It does not support include_reasoning, reasoning, tool_choice, tools, 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 R1 Distill Llama 70B at 8,192 tokens.

Good fits: high-volume work such as classification, tagging and bulk summarising, extracting data against a fixed schema, short single-turn requests (the context window is small).

Provider's own description

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

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 out358 toman
Summarising a ten-page document4,000 in + 600 out867 toman
Classifying a thousand short rows120,000 in + 20,000 out26,401 toman

Frequently asked

How do I call Gemma 2 27B 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/gemma-2-27b-it". Nothing else in your code changes.
What does Gemma 2 27B cost in toman?
188,581 toman per 1M input tokens and 188,581 toman per 1M output tokens; a 1,000-word request is around 490 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Gemma 2 27B take?
Up to 8,192 tokens per request, roughly 6k words. A single answer can reach 2,048 tokens.
Can I stream Gemma 2 27B's output?
Yes — with stream=true you get SSE events as the tokens are produced. This model has no tool calling and no image input, so pick a different one if you need either.