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...
Pay-per-use
No upfront costs, pay only for what you use
Use the following code examples to integrate with our API:
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
Context
128K
Max Output
4K
Access Sonar Deep Research through our unified API — OpenAI-compatible, no cold starts, transparent pricing.
Pricing on WaveSpeedAI: $2.00 per million input tokens and $8.00 per million output tokens. Prompt caching and batch processing are billed separately and reduce effective cost on long, repetitive workloads.
Sonar Deep Research supports up to 128K tokens of context with up to 4K tokens of output per request.
Yes. WaveSpeedAI exposes Sonar Deep Research through an OpenAI-compatible endpoint at https://llm.wavespeed.ai/v1. Point the official OpenAI SDK at this base URL with your WaveSpeedAI API key — no other code changes required.
Sign in to WaveSpeedAI, create an API key in Access Keys, then send a request to https://llm.wavespeed.ai/v1/chat/completions with model id set to the value shown above. New accounts receive free credits to evaluate Sonar Deep Research before paying per token.