Nova Micro 1.0 API: toman pricing and code

amazon/nova-micro-v1

Tool calling
Input · per 1M tokens
12,118 toman
Output · per 1M tokens
48,471 toman
One 1,000-word request ≈
79 toman

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

Nova Micro 1.0 example: tool calling

The example is picked from this model's own capabilities. Drop in your key and it runs as is.

from openai import OpenAI
import json

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

tools = [{
    "type": "function",
    "function": {
        "name": "check_stock",
        "description": "Returns the stock level of a product",
        "parameters": {
            "type": "object",
            "properties": {"sku": {"type": "string"}},
            "required": ["sku"],
        },
    },
}]

messages = [{"role": "user", "content": "How many of the Nike NK-42 shoe are in stock?"}]
first = client.chat.completions.create(model="amazon/nova-micro-v1", messages=messages, tools=tools)
call = first.choices[0].message.tool_calls[0]

# you run the function yourself — the model never touches the database
args = json.loads(call.function.arguments)
result = {"sku": args["sku"], "qty": 7}

messages += [first.choices[0].message, {"role": "tool", "tool_call_id": call.id, "content": json.dumps(result)}]
final = client.chat.completions.create(model="amazon/nova-micro-v1", messages=messages, tools=tools)
print(final.choices[0].message.content)
import OpenAI from "openai";

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

const tools = [{
  type: "function",
  function: {
    name: "check_stock",
    description: "Returns the stock level of a product",
    parameters: { type: "object", properties: { sku: { type: "string" } }, required: ["sku"] },
  },
}];

const messages = [{ role: "user", content: "How many of the Nike NK-42 shoe are in stock?" }];
const first = await client.chat.completions.create({ model: "amazon/nova-micro-v1", messages, tools });
const call = first.choices[0].message.tool_calls[0];

const args = JSON.parse(call.function.arguments);
const result = { sku: args.sku, qty: 7 };

messages.push(first.choices[0].message, { role: "tool", tool_call_id: call.id, content: JSON.stringify(result) });
const final = await client.chat.completions.create({ model: "amazon/nova-micro-v1", messages, tools });
console.log(final.choices[0].message.content);
curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "amazon/nova-micro-v1",
    "messages": [{"role": "user", "content": "How many of the Nike NK-42 shoe are in stock?"}],
    "tools": [{
      "type": "function",
      "function": {
        "name": "check_stock",
        "parameters": {"type": "object", "properties": {"sku": {"type": "string"}}, "required": ["sku"]}
      }
    }]
  }'

What is Nova Micro 1.0 good for?

Nova Micro 1.0 is one of Amazon's models. Put "amazon/nova-micro-v1" in the model field and the rest of your code stays as it is. Nova Micro 1.0 keeps 128,000 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 5,120 tokens. On price it sits in the "very cheap" band — cheaper than 373 and dearer than 23 of the other paid models in the catalogue.

What it can do beyond plain text: 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 12,118 toman per 1M input tokens and 48,471 per 1M output tokens. A 1,000-word round trip on Nova Micro 1.0 lands near 79 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 gpt-oss-120b (batch): Nova Micro 1.0 works out about 10% more expensive, 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 1,266 thousand-word requests on Nova Micro 1.0, and every 1,000 toman is about 12,658 words of round trip. A job with one million input tokens and one million output tokens comes to 60,588 toman in total. Filling this model's 128,000-token window costs 1,551 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 79 toman per thousand words and the dearest Nova Premier 1.0 at 6,751. 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 UI-TARS 7B at 128,000 tokens.

Good fits: high-volume work such as classification, tagging and bulk summarising, agents that reach out to APIs and databases.

Provider's own description

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length...

Three real jobs, priced on this model

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

JobTokensCost
One chat turn with a medium history1,500 in + 400 out38 toman
Summarising a ten-page document4,000 in + 600 out78 toman
Classifying a thousand short rows120,000 in + 20,000 out2,424 toman

Frequently asked

How do I call Nova Micro 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-micro-v1". Nothing else in your code changes.
What does Nova Micro 1.0 cost in toman?
12,118 toman per 1M input tokens and 48,471 toman per 1M output tokens; a 1,000-word request is around 79 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
How much input does Nova Micro 1.0 take?
Up to 128,000 tokens per request, roughly 96k words. A single answer can reach 5,120 tokens.
Does Nova Micro 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.