Amazon: Nova Lite 1.0: AI model
Nova Lite 1.0 is Amazon's very-low-cost multimodal model that reads text, images and video and replies in text, with a 300K-token context. Reachable from inside Iran through Hormouz.
- Context window:
- 300,000 tokens
- Input:
- $0.06/1M tokens
- Output:
- $0.24/1M tokens
- Type:
- text, image
- Vision
- Tools
- Streaming
- Long context
Nova Lite 1.0 is a lightweight multimodal model from Amazon built for speed and low cost. It accepts text, images and video as input and produces text output, so a single call can summarise a document, answer questions about a picture, or describe what happens in a clip.
Its large 300K-token context window lets it take in many images or up to about half an hour of video at once, which suits document analysis, visual question-answering and real-time customer interactions where fast, cheap responses matter more than frontier reasoning. It also supports tool calling for wiring into your own functions.
Pricing is usage-based: $0.06 per million input tokens and $0.24 per million output tokens. Hormouz provides stable access to Nova Lite 1.0 from inside Iran, with no foreign credit card or circumvention tooling required.
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...
Quickstart
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "amazon/nova-lite-v1",
"messages": [{"role": "user", "content": "Hello!"}]
}'Specs
| Vendor | Amazon |
|---|---|
| Type | Text, Image |
| Context window | 300,000 tokens |
| Pricing | $0.06/M in · $0.24/M out |
| API | Chat Completions |
| Capabilities | Streaming · Vision · Tools |
Benchmarks
Reasoning
Coding
Agentic
Source: Artificial Analysis
Code example
curl https://api.hormouz.net/v1/chat/completions \
-H "Authorization: Bearer ng-YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "amazon/nova-lite-v1",
"messages": [{"role": "user", "content": "Hello!"}]
}'from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
model="amazon/nova-lite-v1",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
model: "amazon/nova-lite-v1",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);Buy the Amazon: Nova Lite 1.0 API, paid in rial
- Buy credit with an Iranian bank card; no foreign card or account needed.
- One Hormouz key reaches Amazon: Nova Lite 1.0 and 600+ other models, and you pay only for what you use.
- No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
Use via Hormouz
Connect to this model and 600+ others with one API key, then see usage down to each request.
Request company accessFAQ
- How much does Nova Lite 1.0 cost?
- Billing is usage-based: $0.06 per million input tokens and $0.24 per million output tokens. There is no fixed monthly fee. You pay only for what you use, at the rates shown in the Hormouz dashboard.
- How do I access Nova Lite 1.0 from inside Iran?
- Create an account on Hormouz and generate an API key. Hormouz provides a stable path to Nova Lite 1.0 from inside Iran, with no foreign credit card or circumvention tooling required.
- Is Nova Lite 1.0 compatible with OpenAI code?
- Yes. Hormouz exposes an OpenAI-compatible API. Just change the base URL to Hormouz and swap in your Hormouz key. Your existing OpenAI SDKs and code run without a rewrite.
- Can Nova Lite process images and video?
- Yes. Nova Lite accepts text, images and video as input and replies in text. Its 300K-token context can hold many images or roughly 30 minutes of video in a single request, which makes it a good fit for document and visual analysis.
Updated 2026-10-13