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Aion-3.0 API: toman pricing and code

aion-labs/aion-3.0

toolsreasoningjson
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Input · per 1M tokens
870,375 toman
Output · per 1M tokens
1,740,750 toman
One 1,000-word request ≈
3,394 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 217,594 toman / 1M.Pricing and top-ups

Aion-3.0 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-3.0",
    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-3.0 good for?

Aion Labs publishes this model; we expose it under the id "aion-labs/aion-3.0". Its context window is 131,072 tokens, roughly 98k English words in one request. A single response can run to 32,768 tokens. On price it sits in the "mid-range" band — cheaper than 297 and dearer than 109 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 870,375 toman per 1M input tokens and 1,740,750 per 1M output tokens. A 1,000-word round trip on Aion-3.0 lands near 3,394 toman. It supports cached input: repeated context is billed at 217,594 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 Mistral Large: Aion-3.0 works out roughly 1.1× 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 29 thousand-word requests on Aion-3.0, and every 1,000 toman is about 295 words of round trip. A job with one million input tokens and one million output tokens comes to 2,611,125 toman in total. Filling this model's 131,072-token window costs 114,082 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-2.0", and choosing between those two is where most people hesitate. On a thousand-word request this variant works out 3.8× dearer (3,394 against 905 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: product chatbots and internal assistants, where cost and quality have to balance, logic puzzles and code review, agents that reach out to APIs and databases, extracting data against a fixed schema.

Provider's own description

Aion-3.0 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple specialized models each contribute...

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 out2,002 toman
Summarising a ten-page document4,000 in + 600 out4,526 toman
Classifying a thousand short rows120,000 in + 20,000 out139,260 toman

Frequently asked

How do I call Aion-3.0 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-3.0". Nothing else in your code changes.
What does Aion-3.0 cost in toman?
870,375 toman per 1M input tokens and 1,740,750 toman per 1M output tokens; a 1,000-word request is around 3,394 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Aion-3.0 take?
Up to 131,072 tokens per request, roughly 98k words. A single answer can reach 32,768 tokens.
Does Aion-3.0 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.