Which is cheaper, DeepSeek V4 Pro 0813 (batch) or DeepSeek V4 Pro 0813?

DeepSeek V4 Pro 0813 is the cheaper of the two: one 1,000-word request costs about 1,583 toman, about 1.3× cheaper than DeepSeek V4 Pro 0813 (batch).

Which one has the larger context window?

DeepSeek V4 Pro 0813 (batch), with 1,048,576 tokens.

DeepSeek V4 Pro 0813 (batch) vs DeepSeek V4 Pro 0813

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, DeepSeek V4 Pro 0813 comes out about 1.3× cheaper.

Feature	DeepSeek V4 Pro 0813 (batch)	DeepSeek V4 Pro 0813
Provider	DeepSeek	DeepSeek
Model id	deepseek/deepseek-v4-pro-0813:batch	deepseek/deepseek-v4-pro-0813
Context	1,048,576 tokens	1,048,576 tokens
Max output	943,718 tokens	384,000 tokens
Input / 1M tokens	382,965 toman	304,457 toman
Output / 1M tokens	1,148,895 toman	913,372 toman
≈ one 1,000-word request	1,991 toman	1,583 toman
Input caching	37,716 toman / 1M	10,149 toman / 1M
Image input	No	No
File input	No	No
Tool calling	Yes	Yes
JSON output	Yes	Yes
Reasoning mode	Yes	Yes

Which one for what?

DeepSeek V4 Pro 0813 (batch)

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

1,991 toman per 1,000 words · Model page

DeepSeek V4 Pro 0813

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

1,583 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": "deepseek/deepseek-v4-pro-0813:batch",
    "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="deepseek/deepseek-v4-pro-0813:batch",
    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: "deepseek/deepseek-v4-pro-0813:batch",
  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' => 'deepseek/deepseek-v4-pro-0813:batch',
    '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:    "deepseek/deepseek-v4-pro-0813:batch",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "deepseek/deepseek-v4-pro-0813"

More comparisons: all pairs · model rankings · full catalogue

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