Which is cheaper, Nova Premier 1.0 or Claude Opus 4.5 (batch)?

Nova Premier 1.0 is the cheaper of the two: one 1,000-word request costs about 5,657 toman.

Which one has the larger context window?

Nova Premier 1.0, with 1,000,000 tokens.

Nova Premier 1.0 vs Claude Opus 4.5 (batch)

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.

Feature	Nova Premier 1.0	Claude Opus 4.5 (batch)
Provider	Amazon	Anthropic
Model id	amazon/nova-premier-v1	anthropic/claude-opus-4.5:batch
Context	1,000,000 tokens	200,000 tokens
Max output	32,000 tokens	64,000 tokens
Input / 1M tokens	725,313 toman	725,313 toman
Output / 1M tokens	3,626,563 toman	3,626,563 toman
≈ one 1,000-word request	5,657 toman	5,657 toman
Input caching	181,328 toman / 1M	72,531 toman / 1M
Image input	Yes	Yes
File input	No	Yes
Tool calling	Yes	Yes
JSON output	No	Yes
Reasoning mode	No	Yes

Which one for what?

Nova Premier 1.0

Whole documents or a codebase in a single request
Reading screenshots, invoices, and scanned forms
Agents that call your own APIs and database

5,657 toman per 1,000 words · Model page

Claude Opus 4.5 (batch)

Multi-step problems, maths, and tracking down a bug
Whole documents or a codebase in a single request
Reading screenshots, invoices, and scanned forms
Agents that call your own APIs and database

5,657 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-premier-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-premier-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-premier-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-premier-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-premier-v1",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "anthropic/claude-opus-4.5:batch"

More comparisons: all pairs · model rankings · full catalogue

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