How do I call Moondream 3.1 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 "moondream/moondream3.1-9b-a2b". Nothing else in your code changes.

What does Moondream 3.1 cost in toman?

103,866 toman per 1M input tokens and 865,548 toman per 1M output tokens; a 1,000-word request is around 1,260 toman. You pay for the usage that request actually reported, and a failed request costs nothing.

How much input does Moondream 3.1 take?

Up to 32,000 tokens per request, roughly 24k words. A single answer can reach 4,096 tokens.

Does Moondream 3.1 support streaming and image input?

Streaming (stream=true) works on every model here. Image input is accepted through image_url, as a data URI or a public URL.

Moondream 3.1 API: toman pricing and code

moondream/moondream3.1-9b-a2b

Image inputReasoning

Create a key Try it

Input · per 1M tokens

103,866 toman

Output · per 1M tokens

865,548 toman

One 1,000-word request ≈

1,260 toman

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

Moondream 3.1 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.

curlPythonNode.js

# 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": "moondream/moondream3.1-9b-a2b",
    "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"}}
      ]
    }]
  }'

import base64, json
from openai import OpenAI

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

img = base64.b64encode(open("factor.jpg", "rb").read()).decode()

resp = client.chat.completions.create(
    model="moondream/moondream3.1-9b-a2b",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Return the invoice number, the date and the total as JSON."},
            {"type": "image_url", "image_url": {"url": f"data:image/jpeg;base64,{img}"}},
        ],
    }],
    response_format={"type": "json_object"},
)
print(json.loads(resp.choices[0].message.content))

import OpenAI from "openai";
import { readFileSync } from "node:fs";

const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const img = readFileSync("factor.jpg").toString("base64");

const resp = await client.chat.completions.create({
  model: "moondream/moondream3.1-9b-a2b",
  messages: [{
    role: "user",
    content: [
      { type: "text", text: "Return the invoice number, the date and the total as JSON." },
      { type: "image_url", image_url: { url: `data:image/jpeg;base64,${img}` } },
    ],
  }],
  response_format: { type: "json_object" },
});
console.log(JSON.parse(resp.choices[0].message.content));

What is Moondream 3.1 good for?

The id for Moondream 3.1 in our API is "moondream/moondream3.1-9b-a2b", served from Moondream. Context is 32,000 tokens; past that you have to summarise the history yourself. A single response can run to 4,096 tokens. On price it sits in the "mid-range" band — cheaper than 160 and dearer than 224 of the other paid models in the catalogue.

Capabilities available on this id: it reads images directly, which makes it a real option for invoices, forms and screenshots; 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.

For a back-of-envelope figure: about 1,260 toman per 1,000-word exchange (103,866 in, 865,548 out, per 1M tokens). 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 Nano Banana (Gemini 2.5 Flash Image), and Moondream 3.1 costs about the same, 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 79 thousand-word requests on Moondream 3.1, and every 1,000 toman is about 794 words of round trip. A job with one million input tokens and one million output tokens comes to 969,414 toman in total. Filling this model's 32,000-token window costs 3,324 toman on the input side alone, which is the real reason to keep conversation history short.

Its nearest relative in the catalogue is "moondream/moondream3-preview", and choosing between those two is where most people hesitate. Both land at nearly the same price on a thousand-word request (1,260 and 1,260 toman).

Moondream has 2 models in our catalogue; the cheapest is Moondream 3 Preview at 1,260 toman per thousand words and the dearest Moondream 3.1 at 1,260. Among the less common parameters it accepts max_completion_tokens — all through the standard request body. It does not support response_format, tool_choice, tools, seed, 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-RP 1.0 (8B) at 32,768 tokens.

What to use it for: product chatbots and internal assistants, where cost and quality have to balance, logic puzzles and code review, pulling text and fields out of images.

Provider's own description

Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and...

Three real jobs, priced on this model

Each figure is derived from the prices above and moves when they do.

Job	Tokens	Cost
One chat turn with a medium history	1,500 in + 400 out	502 toman
Summarising a ten-page document	4,000 in + 600 out	935 toman
Classifying a thousand short rows	120,000 in + 20,000 out	29,775 toman

Job

Tokens

Cost

One chat turn with a medium history

1,500 in + 400 out

502 toman

Summarising a ten-page document

4,000 in + 600 out

935 toman

Classifying a thousand short rows

120,000 in + 20,000 out

29,775 toman

Frequently asked

How do I call Moondream 3.1 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 "moondream/moondream3.1-9b-a2b". Nothing else in your code changes.
What does Moondream 3.1 cost in toman?: 103,866 toman per 1M input tokens and 865,548 toman per 1M output tokens; a 1,000-word request is around 1,260 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Moondream 3.1 take?: Up to 32,000 tokens per request, roughly 24k words. A single answer can reach 4,096 tokens.
Does Moondream 3.1 support streaming and image input?: Streaming (stream=true) works on every model here. Image input is accepted through image_url, as a data URI or a public URL.