deepseek/deepseek-chat
163,840 context · $0.32/M input tokens · $0.89/M output tokens
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
Harga
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Penggunaan API
Gunakan contoh kode berikut untuk integrasi dengan API kami:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="deepseek/deepseek-chat",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)Pengenalan Model
Deepseek deepseek-chat
deepseek deepseek-chat
Why It Looks Great
- Large Language Model architecture for efficient processing
- 163840 context window for long document handling
- Competitive pricing at $0.3/$1.3 per million tokens
Key Features
- Context Window: 163840 tokens
- Max Output: 163840 tokens
- Vision: Supported
- Function Calling: Supported
Specifications
| Specification | Value |
|---|---|
| Provider | Deepseek |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 163840 tokens |
| Max Output | 163840 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
Pricing
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.3 |
| Output | $1.3 |
How to Use
- Write your prompt — describe the task, provide context, and specify desired output format.
- Submit — the model processes your request and returns the response.
API Integration
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: deepseek/deepseek-chat
API Usage
Python SDK
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="deepseek/deepseek-chat",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)cURL
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "deepseek/deepseek-chat",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: deepseek/deepseek-chat
- Provider: Deepseek
Info
Fitur yang Didukung
Panduan Akses API
DeepSeek Chat API
deepseek/deepseek-chat
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations...
Input
$0.32 /M
Output
$0.89 /M
Konteks
164K
Output Maks.
164K
Penggunaan Tool
Didukung
Coba DeepSeek Chat di WaveSpeedAI
Akses DeepSeek Chat melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Buka PlaygroundPertanyaan Umum tentang DeepSeek Chat
Berapa biaya DeepSeek Chat melalui API?+
Harga di WaveSpeedAI: $0.32 per juta token input dan $0.89 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Berapa context window DeepSeek Chat?+
DeepSeek Chat mendukung hingga 164K token konteks dengan hingga 164K token output per permintaan.
Apakah DeepSeek Chat kompatibel dengan OpenAI?+
Ya. WaveSpeedAI menyediakan DeepSeek Chat melalui endpoint yang kompatibel dengan OpenAI di https://llm.wavespeed.ai/v1. Arahkan OpenAI SDK resmi ke base URL ini dengan API key WaveSpeedAI Anda — tanpa perubahan kode lainnya.
Bagaimana memulai dengan DeepSeek Chat?+
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id seperti ditampilkan di atas. Akun baru menerima kredit gratis untuk menguji DeepSeek Chat.