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Aion-2.0 API: toman pricing and code

aion-labs/aion-2.0

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Input · per 1M tokens
232,100 toman
Output · per 1M tokens
464,200 toman
One 1,000-word request ≈
905 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 58,025 toman / 1M.Pricing and top-ups

Aion-2.0 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="aion-labs/aion-2.0",
    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 Aion-2.0 good for?

Aion-2.0 comes from Aion Labs; in uttapen you reach it with the model id "aion-labs/aion-2.0". It accepts up to 131,072 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 32,768 tokens. On price it sits in the "cheap" band — cheaper than 183 and dearer than 223 of the other paid models in the catalogue.

What it can do beyond plain text: 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 232,100 toman per 1M input tokens and 464,200 per 1M output tokens. A 1,000-word round trip on Aion-2.0 lands near 905 toman. It supports cached input: repeated context is billed at 58,025 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 DeepSeek V3.1: Aion-2.0 works out roughly 1.1× 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 110 thousand-word requests on Aion-2.0, and every 1,000 toman is about 1,105 words of round trip. A job with one million input tokens and one million output tokens comes to 696,300 toman in total. Filling this model's 131,072-token window costs 30,422 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "aion-labs/aion-3.0-mini", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (905 and 792 toman).

Aion Labs has 4 models in our catalogue; the cheapest is Aion-3.0-Mini at 792 toman per thousand words and the dearest Aion-3.0 at 3,394. It does not support seed, structured_outputs, 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 Nano Banana Pro (Gemini 3 Pro Image) at 131,072 tokens.

Good fits: high-volume work such as classification, tagging and bulk summarising, logic puzzles and code review, agents that reach out to APIs and databases, extracting data against a fixed schema.

Provider's own description

Aion-2.0 is a variant of DeepSeek V3.2 optimized for immersive roleplaying and storytelling. It is particularly strong at introducing tension, crises, and conflict into stories, making narratives feel more engaging....

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 out534 toman
Summarising a ten-page document4,000 in + 600 out1,207 toman
Classifying a thousand short rows120,000 in + 20,000 out37,136 toman

Frequently asked

How do I call Aion-2.0 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 "aion-labs/aion-2.0". Nothing else in your code changes.
What does Aion-2.0 cost in toman?
232,100 toman per 1M input tokens and 464,200 toman per 1M output tokens; a 1,000-word request is around 905 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Aion-2.0 take?
Up to 131,072 tokens per request, roughly 98k words. A single answer can reach 32,768 tokens.
Does Aion-2.0 support streaming and tool calling?
Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Structured output through response_format works too.