perplexity/sonar-deep-research
128,000 context · $2.00/M input tokens · $8.00/M output tokens
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
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="perplexity/sonar-deep-research",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)perplexity sonar-deep-research
| Specification | Value |
|---|---|
| Provider | Perplexity |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 128000 tokens |
| Max Output | 4096 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $2.2 |
| Output | $8.8 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: perplexity/sonar-deep-research
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="perplexity/sonar-deep-research",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "perplexity/sonar-deep-research",
"messages": [{"role": "user", "content": "Hello!"}]
}'
perplexity/sonar-deep-research
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
Input
$2 /M
Output
$8 /M
Konteks
128K
Output Maks.
4K
Akses Sonar Deep Research melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Harga di WaveSpeedAI: $2.00 per juta token input dan $8.00 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Sonar Deep Research mendukung hingga 128K token konteks dengan hingga 4K token output per permintaan.
Ya. WaveSpeedAI menyediakan Sonar Deep Research 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.
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 Sonar Deep Research.