DeepSeek V4 Flash 0423 vs Gemini 3.8 Flash
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 17× cheaper.
| Feature | ||
|---|---|---|
| Provider | DeepSeek | |
| Model id | deepseek/deepseek-v4-flash | google/gemini-3.8-flash |
| Context | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 943,717 tokens | 65,536 tokens |
| Input / 1M tokens | 31,506 toman | 259,665 toman |
| Output / 1M tokens | 63,012 toman | 1,298,323 toman |
| ≈ one 1,000-word request | 123 toman | 2,025 toman |
| Input caching | 6,301 toman / 1M | 25,966 toman / 1M |
| Image input | No | Yes |
| File input | No | Yes |
| Tool calling | Yes | Yes |
| JSON output | Yes | Yes |
| Reasoning mode | Yes | Yes |
Which one for what?
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
Gemini 3.8 Flash
- 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
2,025 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-flash",
"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="deepseek/deepseek-v4-flash",
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: "deepseek/deepseek-v4-flash",
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' => 'deepseek/deepseek-v4-flash',
'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: "deepseek/deepseek-v4-flash",
Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself.")},
})
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}model = "google/gemini-3.8-flash"
Frequently asked
- Which is cheaper, DeepSeek V4 Flash 0423 or Gemini 3.8 Flash?
- DeepSeek V4 Flash 0423 is the cheaper of the two: one 1,000-word request costs about 123 toman, about 17× cheaper than Gemini 3.8 Flash.
- Which one has the larger context window?
- DeepSeek V4 Flash 0423, with 1,048,576 tokens.
- Can I use DeepSeek V4 Flash 0423 and Gemini 3.8 Flash 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