Nova Lite 1.0 API: toman pricing and code
amazon/nova-lite-v1
visiontoolsYou are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
Nova Lite 1.0 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-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-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-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 Lite 1.0 good for?
Amazon publishes this model; we expose it under the id "amazon/nova-lite-v1". Its context window is 300,000 tokens, roughly 225k English words in one request. A single response can run to 5,120 tokens. On price it sits in the "very cheap" band — cheaper than 49 and dearer than 357 of the other paid models in the catalogue.
What it can do beyond plain text: it reads images directly, which makes it a real option for invoices, forms and screenshots; it supports tool calling, so it can invoke your own functions with valid arguments. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper.
Pricing is 17,408 toman per 1M input tokens and 69,630 per 1M output tokens. A 1,000-word round trip on Nova Lite 1.0 lands near 113 toman. 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 GLM Flash Latest: Nova Lite 1.0 works out roughly 1× cheaper, 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 885 thousand-word requests on Nova Lite 1.0, and every 1,000 toman is about 8,850 words of round trip. A job with one million input tokens and one million output tokens comes to 87,038 toman in total. Filling this model's 300,000-token window costs 5,222 toman on the input side alone, which is the real reason to keep conversation history short.
Its nearest relative in the catalogue is "amazon/nova-pro-v1", and choosing between those two is where most people hesitate. On a thousand-word request this variant works out 13.4× cheaper (113 against 1,509 toman).
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 include_reasoning, reasoning, response_format, tool_choice, 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 GPT-5.4 Image 2 at 272,000 tokens.
Good fits: high-volume work such as classification, tagging and bulk summarising, pulling text and fields out of images, agents that reach out to APIs and databases, analysing a long document or codebase in one request.
Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite...
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 | 54 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 111 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 3,482 toman |
Frequently asked
- How do I call Nova Lite 1.0 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 "amazon/nova-lite-v1". Nothing else in your code changes.
- What does Nova Lite 1.0 cost in toman?
- 17,408 toman per 1M input tokens and 69,630 toman per 1M output tokens; a 1,000-word request is around 113 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does Nova Lite 1.0 take?
- Up to 300,000 tokens per request, roughly 225k words. A single answer can reach 5,120 tokens.
- Does Nova Lite 1.0 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.