Which is cheaper, Nova Micro 1.0 or Phi 4?

Nova Micro 1.0 is the cheaper of the two: one 1,000-word request costs about 66 toman, about 1.2× cheaper than Phi 4.

Which one has the larger context window?

Nova Micro 1.0, with 128,000 tokens.

Nova Micro 1.0 vs Phi 4

Both sit behind the same key and the same code on uttapen — the only thing that changes is the model string, so you can run each of them against your own workload without touching anything else. On cost, Nova Micro 1.0 comes out about 1.2× cheaper.

Feature	Nova Micro 1.0	Phi 4
Provider	Amazon	Microsoft
Model id	amazon/nova-micro-v1	microsoft/phi-4
Context	128,000 tokens	16,384 tokens
Max output	5,120 tokens	14,745 tokens
Input / 1M tokens	10,154 toman	20,309 toman
Output / 1M tokens	40,618 toman	40,618 toman
≈ one 1,000-word request	66 toman	79 toman
Input caching	No	No
Image input	No	No
File input	No	No
Tool calling	Yes	No
JSON output	No	Yes
Reasoning mode	No	No

Which one for what?

Nova Micro 1.0

Agents that call your own APIs and database
High-volume work where cost per call decides

66 toman per 1,000 words · Model page

Phi 4

High-volume work where cost per call decides

79 toman per 1,000 words · Model page

Run both with the same code

Swap the model value between the two ids and send the same request twice; what each answer cost comes back in the X-Uttapen-Cost-Toman header.

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": "Introduce yourself in one sentence."}],
    "stream": true
  }'

from openai import OpenAI

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

stream = client.chat.completions.create(
    model="amazon/nova-micro-v1",
    messages=[{"role": "user", "content": "Introduce yourself in one sentence."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

import OpenAI from "openai";

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

const stream = await client.chat.completions.create({
  model: "amazon/nova-micro-v1",
  messages: [{ role: "user", content: "Introduce yourself in one sentence." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

<?php
// composer require openai-php/client guzzlehttp/guzzle
$client = OpenAI::factory()
    ->withBaseUri('https://api.uttapen.ir/v1')
    ->withApiKey('sk-up-…')
    ->make();

$result = $client->chat()->create([
    'model' => 'amazon/nova-micro-v1',
    'messages' => [['role' => 'user', 'content' => 'Introduce yourself in one sentence.']],
]);
echo $result->choices[0]->message->content;

package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go"
	"github.com/openai/openai-go/option"
)

func main() {
	client := openai.NewClient(
		option.WithBaseURL("https://api.uttapen.ir/v1"),
		option.WithAPIKey("sk-up-…"),
	)
	resp, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
		Model:    "amazon/nova-micro-v1",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "microsoft/phi-4"

More comparisons: all pairs · model rankings · full catalogue

base_url = https://api.uttapen.ir/v1