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tencent/hy3

Hunyuan 3

LLM

Hunyuan 3 API by TENCENT

tencent/hy3

Hy3

Flagship foundation model built for deep reasoning, complex problem-solving, and sophisticated agentic workflows.

Jelajahi Model Serupa

DeepSeek V4 Flash 0731

DeepSeek V4 Flash is a state-of-the-art large language model combining efficient sparse attention, strong reasoning, and integrated agent capabilities for robust long-context understanding and versatile AI applications.

DeepSeek V4 Flash 0731

1048.6K KONTEKS:

Konteks:1048.58K

Input:$0.14/M token

Output:$0.28/M token

Output Maks:393.22K

$0.14/0.28M masuk/keluar

Qwen3.8 Max

Next-generation flagship model for advanced reasoning, coding, and multimodal AI applications.

Qwen3.8 Max

1000.0K KONTEKS:

Konteks:1000.00K

Input:$2/M token

Output:$6/M token

Output Maks:131.07K

$2/6M masuk/keluar

Kimi K3

Top-performing open-weight model optimized for frontier reasoning, coding, and enterprise AI applications.

Kimi K3

1048.6K KONTEKS:

Konteks:1048.58K

Input:$3/M token

Output:$15/M token

Output Maks:1048.58K

$3/15M masuk/keluar

Grok 4.5

Flagship conversational model built for real-time knowledge exploration, sharp reasoning, and highly engaging AI interactions.

Grok 4.5

500.0K KONTEKS:

Konteks:500.00K

Input:$2/M token

Output:$6/M token

Output Maks:500.00K

$2/6M masuk/keluar

Fast, lightweight coding model designed for interactive development, rapid code iteration, and efficient coding agents.

KAT Coder Air V2.5

262.1K KONTEKS:

Konteks:262.14K

Input:$0.15/M token

Output:$0.6/M token

Output Maks:262.14K

$0.15/0.6M masuk/keluar

High-end coding agent built for complex software engineering, repository-scale tasks, and autonomous development workflows.

KAT Coder Pro V2.5

262.1K KONTEKS:

Konteks:262.14K

Input:$0.74/M token

Output:$2.96/M token

Output Maks:262.14K

$0.74/2.96M masuk/keluar

Doubao Seed Character

Flagship model delivering premium reasoning, coding, multimodal understanding, and enterprise-grade performance.

Doubao Seed Character

131.1K KONTEKS:

Konteks:131.07K

Input:$0.2/M token

Output:$0.8/M token

Output Maks:32.77K

$0.2/0.8M masuk/keluar

Doubao Seed 2.1 Pro

Flagship model delivering premium reasoning, coding, multimodal understanding, and enterprise-grade performance.

Doubao Seed 2.1 Pro

262.1K KONTEKS:

Konteks:262.14K

Input:$0.9/M token

Output:$4.5/M token

Output Maks:262.14K

$0.9/4.5M masuk/keluar

Doubao Seed 2.1 Turbo

Turbo model optimized for ultra-low latency, high throughput, and responsive AI experiences.

Doubao Seed 2.1 Turbo

262.1K KONTEKS:

Konteks:262.14K

Input:$0.45/M token

Output:$2.25/M token

Output Maks:262.14K

$0.45/2.25M masuk/keluar

GLM 5.2

Agent-oriented model built for complex reasoning, tool use, and autonomous task execution.

GLM 5.2

1048.6K KONTEKS:

Konteks:1048.58K

Input:$1.26/M token

Output:$3.96/M token

Output Maks:131.07K

$1.26/3.96M masuk/keluar

Kimi K2.7 Code

Powerful coding model for programming, debugging, and AI developer workflows.

Kimi K2.7 Code

262.1K KONTEKS:

Konteks:262.14K

Input:$0.95/M token

Output:$4/M token

Output Maks:262.14K

$0.95/4M masuk/keluar

MiniMax M3

MiniMax M3 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world capability while maintaining exceptional latency, scalability, and cost efficiency.

MiniMax M3

524.3K KONTEKS:

Konteks:524.30K

Input:$0.3/M token

Output:$1.2/M token

Output Maks:524.29K

$0.3/1.2M masuk/keluar

Grok Build 0.1

Specialized coding model optimized for software development, code generation, debugging, refactoring, and developer workflows.

Grok Build 0.1

262.1K KONTEKS:

Konteks:262.14K

Input:$1/M token

Output:$2/M token

Output Maks:262.14K

$1/2M masuk/keluar

Grok 4.3

Advanced conversational AI model optimized for natural dialogue, knowledge exploration, reasoning, and interactive chat experiences.

Grok 4.3

1000.0K KONTEKS:

Konteks:1000.00K

Input:$1.25/M token

Output:$2.5/M token

Output Maks:1000.00K

$1.25/2.5M masuk/keluar

Satu API untuk semua AI multimedia.

Jelajahi semua model

Parameter

Contoh kode
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.getenv("ATLASCLOUD_API_KEY"),
    base_url="https://api.atlascloud.ai/v1"
)

response = client.chat.completions.create(
    model="tencent/hy3",
    messages=[
    {
        "role": "user",
        "content": "hello"
    }
],
    max_tokens=65536,
    temperature=0.7
)

print(response.choices[0].message.content)

Instalasi

Instal paket dependensi yang diperlukan.

pip install requests

Autentikasi

Semua permintaan API memerlukan autentikasi melalui API key. Anda bisa mendapatkan API key dari dasbor Atlas Cloud.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP Headers

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Jaga keamanan API key Anda

Jangan pernah mengekspos API key Anda di kode sisi klien atau repositori publik. Gunakan variabel lingkungan atau proxy backend sebagai gantinya.

Kirim permintaan

import requests

url = "https://api.atlascloud.ai/v1/chat/completions"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "messages": [{"role": "user", "content": "Hello"}]
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Input Schema

Parameter berikut diterima di isi permintaan.

Total: 14Wajib: 2Opsional: 12

modelstringrequired

The model ID to use for the completion.

Example: "tencent/hy3"

messagesarray[object]required

A list of messages comprising the conversation so far.

rolestringrequired

The role of the message author. One of "system", "user", or "assistant".

systemuserassistant

contentstringrequired

The content of the message.

temperaturenumber

Controls the variety of the model's responses. Lower values make output more predictable and deterministic, higher values more diverse and random.

Default: 1Min: 0Max: 2

top_pnumber

Nucleus sampling: limits the model's choices to the smallest set of tokens whose cumulative probability reaches top_p. It is recommended to adjust either this or temperature, not both.

Default: 1Min: 0Max: 1

top_kinteger

Limits the model's choice to the k most likely tokens at each step. Set to 0 or omit to disable.

Default: 0Min: 0

min_pnumber

Minimum probability threshold for a token to be considered, measured relative to the probability of the most likely token. Tokens below this threshold are filtered out.

Default: 0Min: 0Max: 1

frequency_penaltynumber

Penalizes tokens based on how frequently they have appeared in the text so far, reducing verbatim repetition. Negative values encourage token reuse.

Default: 0Min: -2Max: 2

presence_penaltynumber

Penalizes tokens that have already appeared in the text regardless of frequency, encouraging the model to introduce new topics.

Default: 0Min: -2Max: 2

repetition_penaltynumber

Multiplicative penalty applied to previously generated tokens. Values greater than 1 discourage repetition; 1 disables it.

Default: 1Min: 0Max: 2

stopstring | array[string]

One or more sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

seedinteger

Random seed for deterministic sampling. Repeated requests with the same seed and parameters should return the same result.

max_tokensinteger

The maximum number of tokens to generate in the completion. The maximum value is the model's context length minus the prompt length.

Min: 1

logit_biasobject

A map of token IDs to bias values from -100 to 100 that adjust the likelihood of those tokens appearing in the output.

streamboolean

If set to true, partial message deltas will be sent as server-sent events.

Default: false

Contoh Isi Permintaan

{
  "model": "tencent/hy3",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 65536,
  "temperature": 0.7,
  "stream": false
}

Output Schema

API mengembalikan respons yang kompatibel dengan ChatCompletion.

idstringrequired

Unique identifier for the completion.

objectstringrequired

Object type, always "chat.completion".

Default: "chat.completion"

createdintegerrequired

Unix timestamp of when the completion was created.

modelstringrequired

The model used for the completion.

choicesarray[object]required

List of completion choices.

indexintegerrequired

Index of the choice.

messageobjectrequired

The generated message.

finish_reasonstringrequired

The reason generation stopped.

stoplengthcontent_filter

usageobjectrequired

Token usage statistics.

prompt_tokensintegerrequired

Number of tokens in the prompt.

completion_tokensintegerrequired

Number of tokens in the completion.

total_tokensintegerrequired

Total tokens used.

Contoh Respons

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 1700000000,
  "model": "model-name",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "Hello! How can I assist you today?"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 20,
    "total_tokens": 30
  }
}

Atlas Cloud Skills

Atlas Cloud Skills mengintegrasikan 400+ model AI langsung ke asisten pengkodean AI Anda. Satu perintah untuk menginstal, lalu gunakan bahasa alami untuk menghasilkan gambar, video, dan mengobrol dengan LLM.

Klien yang Didukung

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ klien yang didukung

Instalasi

npx skills add AtlasCloudAI/atlas-cloud-skills

Atur API Key

Dapatkan API key dari dasbor Atlas Cloud dan atur sebagai variabel lingkungan.

export ATLASCLOUD_API_KEY="your-api-key-here"

Kemampuan

Setelah diinstal, Anda dapat menggunakan bahasa alami di asisten AI Anda untuk mengakses semua model Atlas Cloud.

Pembuatan GambarBuat gambar dengan model seperti Nano Banana 2, Z-Image, dan lainnya.

Pembuatan VideoBuat video dari teks atau gambar dengan Kling, Vidu, Veo, dll.

Obrolan LLMMengobrol dengan Qwen, DeepSeek, dan model bahasa besar lainnya.

Unggah MediaUnggah file lokal untuk pengeditan gambar dan alur kerja gambar-ke-video.

Pelajari lebih lanjut

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server menghubungkan IDE Anda dengan 400+ model AI melalui Model Context Protocol. Berfungsi dengan klien apa pun yang kompatibel dengan MCP.

Klien yang Didukung

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ klien yang didukung

Instalasi

npx -y atlascloud-mcp

Konfigurasi

Tambahkan konfigurasi berikut ke file pengaturan MCP di IDE Anda.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Alat yang Tersedia

atlas_generate_imageBuat gambar dari prompt teks.

atlas_generate_videoBuat video dari teks atau gambar.

atlas_chatMengobrol dengan model bahasa besar.

atlas_list_modelsJelajahi 400+ model AI yang tersedia.

atlas_quick_generatePembuatan konten satu langkah dengan pemilihan model terbaik otomatis.

atlas_upload_mediaUnggah file lokal untuk alur kerja API.

Pelajari lebih lanjut

github.com/AtlasCloudAI/mcp-server