Hy4 preview vs Hy3 preview
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, Hy3 preview comes out about 4.3× cheaper.
| Feature | ||
|---|---|---|
| Provider | Tencent | Tencent |
| Model id | tencent/hy4-preview | tencent/hy3-preview |
| Context | 1,048,576 tokens | 262,144 tokens |
| Max output | 64,000 tokens | 235,929 tokens |
| Input / 1M tokens | 241,964 toman | 52,223 toman |
| Output / 1M tokens | 725,603 toman | 174,075 toman |
| ≈ one 1,000-word request | 1,258 toman | 294 toman |
| Input caching | 12,185 toman / 1M | 17,408 toman / 1M |
| Image input | No | No |
| File input | No | No |
| Tool calling | Yes | Yes |
| JSON output | Yes | No |
| Reasoning mode | Yes | Yes |
Which one for what?
Hy4 preview
- 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
1,258 toman per 1,000 words · Model page
Hy3 preview
- 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
294 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": "tencent/hy4-preview",
"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="tencent/hy4-preview",
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: "tencent/hy4-preview",
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' => 'tencent/hy4-preview',
'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: "tencent/hy4-preview",
Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
})
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}model = "tencent/hy3-preview"
More comparisons: all pairs · model rankings · full catalogue
base_url = https://api.uttapen.ir/v1