Nova 2 Lite API: toman pricing and code
amazon/nova-2-lite-v1
visiontoolsreasoningfilesYou are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Nova 2 Lite 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": "amazon/nova-2-lite-v1",
"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="amazon/nova-2-lite-v1",
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: "amazon/nova-2-lite-v1",
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 Nova 2 Lite good for?
Nova 2 Lite comes from Amazon; in uttapen you reach it with the model id "amazon/nova-2-lite-v1". It accepts up to 1,000,000 tokens of input per call, so a long document or several source files fit in a single request. A single response can run to 65,535 tokens. On price it sits in the "mid-range" band — cheaper than 228 and dearer than 178 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 takes files such as PDFs as input; it supports tool calling, so it can invoke your own functions with valid arguments; 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 1,056 toman per 1,000-word exchange (87,038 in, 725,313 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 Claude Haiku 4.5 (batch): Nova 2 Lite works out roughly 1.1× cheaper, 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 95 thousand-word requests on Nova 2 Lite, and every 1,000 toman is about 947 words of round trip. A job with one million input tokens and one million output tokens comes to 812,350 toman in total. Filling this model's 1,000,000-token window costs 87,038 toman on the input side alone, which is the real reason to keep conversation history short.
Amazon has 5 models in our catalogue; the cheapest is Nova Micro 1.0 at 66 toman per thousand words and the dearest Nova Premier 1.0 at 5,657. Among the less common parameters it accepts top_k — all through the standard request body. It does not support response_format, 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 Claude Fable 5 at 1,000,000 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, agents that reach out to APIs and databases, analysing a long document or codebase in one request.
Nova 2 Lite is a fast, cost-effective reasoning model for everyday workloads that can process text, images, and videos to generate text. Nova 2 Lite demonstrates standout capabilities in processing...
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 | 421 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 783 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 24,951 toman |
Frequently asked
- How do I call Nova 2 Lite 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 "amazon/nova-2-lite-v1". Nothing else in your code changes.
- What does Nova 2 Lite cost in toman?
- 87,038 toman per 1M input tokens and 725,313 toman per 1M output tokens; a 1,000-word request is around 1,056 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Nova 2 Lite take?
- Up to 1,000,000 tokens per request, roughly 750k words. A single answer can reach 65,535 tokens.
- Does Nova 2 Lite support streaming and tool calling?
- Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Image input is accepted through image_url, as a data URI or a public URL.