GPT-6 Luna vs DeepSeek V4 Flash 0423

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 Flash 0423 comes out about 2.2× cheaper.

FeatureGPT-6 LunaDeepSeek V4 Flash 0423
ProviderOpenAIDeepSeek
Model idopenai/gpt-6-lunadeepseek/deepseek-v4-flash
Context1,050,000 tokens1,048,576 tokens
Max output128,000 tokens943,717 tokens
Input / 1M tokens34,622 toman31,506 toman
Output / 1M tokens173,110 toman63,012 toman
≈ one 1,000-word request270 toman123 toman
Input caching3,462 toman / 1M6,301 toman / 1M
Image inputYesNo
File inputYesNo
Tool callingYesYes
JSON outputYesYes
Reasoning modeYesYes

Which one for what?

GPT-6 Luna

  • 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
  • High-volume work where cost per call decides
270 toman per 1,000 words · Model page

DeepSeek V4 Flash 0423

  • 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
  • High-volume work where cost per call decides
123 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": "openai/gpt-6-luna",
    "messages": [{"role": "user", "content": "Introduce yourself."}],
    "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="openai/gpt-6-luna",
    messages=[{"role": "user", "content": "Introduce yourself."}],
    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: "openai/gpt-6-luna",
  messages: [{ role: "user", content: "Introduce yourself." }],
  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' => 'openai/gpt-6-luna',
    'messages' => [['role' => 'user', 'content' => 'Introduce yourself.']],
]);
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:    "openai/gpt-6-luna",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "deepseek/deepseek-v4-flash"

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Frequently asked

Which is cheaper, GPT-6 Luna or DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 is the cheaper of the two: one 1,000-word request costs about 123 toman, about 2.2× cheaper than GPT-6 Luna.
Which one has the larger context window?
GPT-6 Luna, with 1,050,000 tokens.
Can I use GPT-6 Luna and DeepSeek V4 Flash 0423 with one API key?
Yes. An uttapen key reaches every model unless you gave it an allowed-models list, and each request is charged in toman to the same wallet; only the model value changes.

More comparisons: all pairs · model rankings · full catalogue

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