P

Perplexity PPLX 7B Online

Perplexity
Vision
8K
Context
$0.0200
Input /1M
$0.0200
Output /1M
2K
Max Output
Run API Call Open in Chat

Perplexity PPLX 7B Online

Model ID: perplexity/pplx-7b-online
Provider: Perplexity - Perplexity AI
Canonical Slug: perplexity/pplx-7b-online

Overview

PPLX 7B Online is Perplexity AI's 7 billion parameter model enhanced with real-time web search capabilities. It provides current information by accessing online sources.

Specifications

Specification Value
Context Window 8,000 tokens
Max Output Tokens 2,000
Modality text->text
Model Architecture text to text
Release Date 1704000000

Pricing

Metric Price
Prompt Cost $0.02 per 1M tokens
Completion Cost $0.02 per 1M tokens
Currency USD

Capabilities

  • Text Generation
  • Web Search

Supported Parameters

The model supports the following parameters in API requests:

  • temperature: Controls randomness (0.0 - 2.0), default: 1.0
  • top_p: Nucleus sampling (0.0 - 1.0), default: 1.0
  • top_k: Top-k filtering
  • frequency_penalty: Reduces repetition (-2.0 to 2.0)
  • presence_penalty: Encourages new topics (-2.0 to 2.0)
  • repetition_penalty: Alternative repetition control (0.5 - 2.0)
  • stop: Stop sequences
  • seed: Random seed for reproducibility
  • max_tokens: Maximum output length

API Usage Example

curl -X POST https://api.langmart.ai/v1/chat/completions \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "perplexity/pplx-7b-online",
    "messages": [
      {
        "role": "user",
        "content": "Explain quantum computing in simple terms"
      }
    ],
    "temperature": 1.0,
    "max_tokens": 2000,
    "top_p": 1.0
  }'

Performance Metrics

Speed & Quality Tradeoff

  • Inference Speed: Fast
  • Quality Tier: Advanced
  • Cost Efficiency: Optimized for production
  • Long-form text generation
  • Code generation and analysis
  • Conversational AI
  • Complex reasoning tasks
  • Information synthesis

From Same Provider

  • perplexity/sonar-pro-search
  • perplexity/sonar-reasoning-pro
  • perplexity/sonar-deep-research
  • perplexity/sonar-pro
  • perplexity/sonar

Comparable Models from Other Providers

  • OpenAI: GPT-4 Turbo, GPT-4o
  • Anthropic: Claude 3.5 Sonnet
  • Google: Gemini 2.0 Flash
  • DeepSeek: DeepSeek-R1

Python Integration

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://api.langmart.ai/v1"
)

message = client.messages.create(
    model="perplexity/pplx-7b-online",
    max_tokens=2000,
    messages=[
        {
            "role": "user",
            "content": "Your prompt here"
        }
    ]
)

print(message.content[0].text)

JavaScript/Node.js Integration

import OpenAI from "openai";

const openai = new OpenAI({
  apiKey: process.env.LANGMART_API_KEY,
  baseURL: "https://api.langmart.ai/v1",
});

const completion = await openai.chat.completions.create({
  model: "perplexity/pplx-7b-online",
  messages: [
    {
      role: "user",
      content: "Your prompt here",
    },
  ],
  max_tokens: 2000,
});

console.log(completion.choices[0].message.content);

Performance Notes

Strengths

  • Efficient inference with good quality
  • Well-suited for production workloads
  • Strong instruction-following ability
  • Balanced performance and cost

Considerations

  • Context length may be limited for very long documents
  • Specialized for specific tasks

Additional Information

  • Hugging Face Model: Not available
  • License: Open or Commercial (depends on provider)
  • Streaming: Supported
  • Function Calling: Depends on model configuration
  • Vision Capabilities: No
  • Web Search: Yes

Availability & Status

  • LangMart Status: Available
  • Rate Limits: Standard LangMart limits apply
  • SLA: Subject to provider availability

Documentation Generated: 2025-12-24
Source: LangMart API & Public Documentation
Last Updated: December 2025