Which is cheaper, Seed 2.1 Turbo or Nova 2 Lite?

Nova 2 Lite is the cheaper of the two: one 1,000-word request costs about 1,056 toman.

Which one has the larger context window?

Nova 2 Lite, with 1,000,000 tokens.

Seed 2.1 Turbo vs Nova 2 Lite

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	Seed 2.1 Turbo	Nova 2 Lite
Provider	ByteDance Seed	Amazon
Model id	bytedance-seed/seed-2-1-turbo	amazon/nova-2-lite-v1
Context	262,144 tokens	1,000,000 tokens
Max output	235,929 tokens	65,535 tokens
Input / 1M tokens	145,063 toman	87,038 toman
Output / 1M tokens	725,313 toman	725,313 toman
≈ one 1,000-word request	1,131 toman	1,056 toman
Input caching	No	No
Image input	Yes	Yes
File input	No	Yes
Tool calling	Yes	Yes
JSON output	Yes	No
Reasoning mode	Yes	Yes

Which one for what?

Seed 2.1 Turbo

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

1,131 toman per 1,000 words · Model page

Nova 2 Lite

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

1,056 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": "bytedance-seed/seed-2-1-turbo",
    "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="bytedance-seed/seed-2-1-turbo",
    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: "bytedance-seed/seed-2-1-turbo",
  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' => 'bytedance-seed/seed-2-1-turbo',
    '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:    "bytedance-seed/seed-2-1-turbo",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "amazon/nova-2-lite-v1"

More comparisons: all pairs · model rankings · full catalogue

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