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Cydonia 24B V4.1 API: toman pricing and code

thedrummer/cydonia-24b-v4.1

json
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Input · per 1M tokens
87,038 toman
Output · per 1M tokens
145,063 toman
One 1,000-word request ≈
302 toman

You are billed for the usage the request actually reported. Prices follow the market. Cached input: 43,519 toman / 1M.Pricing and top-ups

Cydonia 24B V4.1 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="thedrummer/cydonia-24b-v4.1",
    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 Cydonia 24B V4.1 good for?

Thedrummer publishes this model; we expose it under the id "thedrummer/cydonia-24b-v4.1". Its context window is 131,072 tokens, roughly 98k English words in one request. A single response can run to 117,964 tokens. On price it sits in the "very cheap" band — cheaper than 88 and dearer than 318 of the other paid models in the catalogue.

What you get on top of text in, text out: 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.

Input runs at 87,038 toman per 1M tokens and output at 145,063 — output costs 1.7× input, so trimming the answer saves more than trimming the prompt. It supports cached input: repeated context is billed at 43,519 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 Hunyuan A13B Instruct: Cydonia 24B V4.1 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 331 thousand-word requests on Cydonia 24B V4.1, and every 1,000 toman is about 3,311 words of round trip. A job with one million input tokens and one million output tokens comes to 232,100 toman in total. Filling this model's 131,072-token window costs 11,408 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "thedrummer/skyfall-36b-v2", and choosing between those two is where most people hesitate. On a thousand-word request this variant works out 1.7× cheaper (302 against 509 toman). The context windows differ too: 131,072 against 32,768 tokens. Maximum answer length differs as well: 117,964 against 29,491 tokens.

Thedrummer has 3 models in our catalogue; the cheapest is Cydonia 24B V4.1 at 302 toman per thousand words and the dearest Skyfall 36B V2 at 509. Among the less common parameters it accepts logit_bias, logprobs, repetition_penalty, top_k, top_logprobs — 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 Aion-2.0 at 131,072 tokens.

Where it makes sense: high-volume work such as classification, tagging and bulk summarising, extracting data against a fixed schema.

Provider's own description

Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.

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 out189 toman
Summarising a ten-page document4,000 in + 600 out435 toman
Classifying a thousand short rows120,000 in + 20,000 out13,346 toman

Frequently asked

How do I call Cydonia 24B V4.1 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 "thedrummer/cydonia-24b-v4.1". Nothing else in your code changes.
What does Cydonia 24B V4.1 cost in toman?
87,038 toman per 1M input tokens and 145,063 toman per 1M output tokens; a 1,000-word request is around 302 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Cydonia 24B V4.1 take?
Up to 131,072 tokens per request, roughly 98k words. A single answer can reach 117,964 tokens.
Can I stream Cydonia 24B V4.1'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.