Moondream 3 Preview API: toman pricing and code
moondream/moondream3-preview
You are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Moondream 3 Preview 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.
# 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-preview",
"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-preview",
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-preview",
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 Preview good for?
Moondream 3 Preview comes from Moondream; in uttapen you reach it with the model id "moondream/
What you get on top of text in, text out: 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.
Input runs at 103,866 toman per 1M tokens and output at 865,548 — output costs 8.3× input, so trimming the answer saves more than trimming the prompt. 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 Preview 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 Preview, 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/
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.
Where it makes sense: product chatbots and internal assistants, where cost and quality have to balance, logic puzzles and code review, pulling text and fields out of images.
Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, and visual reasoning over images, with...
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 |
Frequently asked
- How do I call Moondream 3 Preview 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-preview". Nothing else in your code changes. - What does Moondream 3 Preview 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 Preview take?
- Up to 32,000 tokens per request, roughly 24k words. A single answer can reach 4,096 tokens.
- Does Moondream 3 Preview 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.