How to Choose Between Perplexity Pro and Poe for AI Model Aggregation

Mar 6, 2026

Problem

I needed access to multiple AI models - Claude, GPT-4, and Gemini - but I didn’t want to pay for separate subscriptions to Anthropic, OpenAI, and Google. Each one costs around $20/month, so that’s $60/month just for chat access.

Then I discovered AI model aggregators. Two platforms stood out: Perplexity Pro and Poe. Both cost about $20/month and both claim to give you access to multiple models. But which one should I choose?

What I Needed

I had two main use cases:

Research work - I needed to verify facts, find sources, and get citations
Development work - I wanted API access to integrate AI into my applications

I also wanted to compare responses from different models on the same prompt.

My First Attempt: Perplexity Pro

I started with Perplexity Pro because I was already using their free tier for search.

import Perplexity from '@perplexity-ai/perplexity_ai';

const client = new Perplexity({
  apiKey: process.env.PERPLEXITY_API_KEY,
});

async function research(query: string) {
  const completion = await client.chat.completions.create({
    messages: [{ role: 'user', content: query }],
    model: 'sonar',
    searchRecencyFilter: 'week',
  });

  return {
    answer: completion.choices[0].message.content,
    sources: completion.citations || [],
  };
}

This worked well for research. I got answers with citations:

Answer: [Detailed response about AI model aggregators...]
Sources:
  - https://arxiv.org/paper1
  - https://docs.perplexity.ai/guides

But I noticed Perplexity focuses on search-optimized models. When I tried to access other models like Claude directly, I was limited to Perplexity’s curated selection.

My Second Attempt: Poe

Then I tried Poe. I discovered they offer an OpenAI-compatible API:

import os
from openai import OpenAI

# Poe uses OpenAI-compatible API - same client!
client = OpenAI(
    api_key=os.environ.get("POE_API_KEY"),
    base_url="https://api.poe.com/v1"
)

def query_multiple_models(prompt: str, models: list[str]):
    """Query multiple models and compare responses"""
    results = {}

    for model in models:
        response = client.chat.completions.create(
            model=model,
            messages=[{"role": "user", "content": prompt}],
            max_tokens=500
        )
        results[model] = response.choices[0].message.content

    return results

# Compare three models on the same prompt
models = [
    "Claude-Sonnet-4",
    "GPT-4o",
    "Gemini-2.5-Pro"
]

responses = query_multiple_models(
    "What's the best approach for caching in microservices?",
    models
)

This gave me direct access to multiple models with a single API key. I could switch between models easily:

# Route queries to different models based on task type
TASK_MODELS = {
    'coding': 'Claude-Sonnet-4',      # Best for code
    'creative': 'GPT-4o',              # Best for creative writing
    'analysis': 'Gemini-2.5-Pro',      # Best for data analysis
    'quick': 'Llama-3.1-70B',          # Fast and cheap
}

def smart_query(task_type: str, prompt: str):
    model = TASK_MODELS.get(task_type, 'Claude-Sonnet-4')

    response = client.chat.completions.create(
        model=model,
        messages=[{"role": "user", "content": prompt}],
    )

    return response.choices[0].message.content

The Key Difference

After using both platforms, I found the key difference:

Feature	Perplexity Pro	Poe
Primary Use Case	Research & Search	Chat & API Access
Model Selection	Curated, search-optimized	Extensive (300+ bots)
API Access	Yes (Sonar models)	Yes (OpenAI-compatible)
Web Search	Built-in, real-time	Limited
Citations	Yes	No
Pricing	~$20/month	~$20/month

Perplexity Pro: Research-Focused

Perplexity excels at research because it combines web search with AI synthesis:

async function researchWithSources(topic: string) {
  const completion = await client.chat.completions.create({
    messages: [{ role: 'user', content: `Overview of ${topic}` }],
    model: 'sonar',
    // Filter for academic sources
    searchDomainFilter: ['arxiv.org', 'nature.com', 'scholar.google.com'],
  });

  // Response includes citations
  console.log('Answer:', completion.choices[0].message.content);
  console.log('Sources:', completion.citations);
}

This is perfect for:

Academic research
Fact-checking
Competitive intelligence
Any work requiring source verification

Poe: Developer-Focused

Poe excels at giving you direct access to multiple models:

# Poe's OpenAI-compatible API means I can use existing code
# Just change the base_url and api_key

client = OpenAI(
    api_key=os.environ["POE_API_KEY"],
    base_url="https://api.poe.com/v1"
)

# Access Claude, GPT, Gemini, Llama, Grok - all with one key
response = client.chat.completions.create(
    model="Claude-Sonnet-4",  # or "GPT-4o", "Gemini-2.5-Pro", etc.
    messages=[{"role": "user", "content": "Hello!"}]
)

This is perfect for:

Building applications with AI
Model comparison workflows
Accessing the latest models quickly
API-first development

My Decision

I ended up subscribing to both - but for different reasons:

Perplexity Pro for research:

When I need citations and sources
When I’m doing competitive research
When I need real-time information from the web

Poe for development:

When I’m building applications
When I need to compare model responses
When I want programmatic access to multiple models

Decision Framework

If you need to choose just one, here’s how I’d decide:

START
  |
  v
Do you need citations and source tracking?
  |
  +-- YES --> PERPLEXITY PRO
  |
  +-- NO --> Do you need API access for building apps?
                |
                +-- YES --> POE (OpenAI-compatible API)
                |
                +-- NO --> Do you need real-time web search?
                              |
                              +-- YES --> PERPLEXITY PRO
                              |
                              +-- NO --> Either works

Before discovering aggregators, I considered subscribing to each service directly. Here’s the cost comparison:

Service	Direct Cost	What You Get
ChatGPT Plus	$20/month	GPT-4 access only
Claude Pro	$20/month	Claude access only
Gemini Advanced	$20/month	Gemini access only
Total	$60/month	3 models
Perplexity Pro	$20/month	Multi-model + search
Poe	$20/month	300+ models

For most users, aggregators provide better value.

What About API Costs?

Both platforms offer API access, but they work differently:

Perplexity API:

Separate from Pro subscription
Usage-based pricing
Best for Sonar models

Poe API:

Included with subscription (uses compute points)
1M compute points/month with subscription
Access to all models through one API

// Poe API works with existing OpenAI SDKs
const response = await fetch('https://api.poe.com/v1/chat/completions', {
  method: 'POST',
  headers: {
    'Authorization': `Bearer ${process.env.POE_API_KEY}`,
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    model: 'Claude-Sonnet-4',
    messages: [{ role: 'user', content: 'Hello!' }],
  }),
});

Summary

In this post, I compared Perplexity Pro and Poe for AI model aggregation. The key point is that both cost the same (~$20/month) but serve different needs.

Choose Perplexity Pro if you:

Need citations and source verification
Do research requiring real-time web search
Value integrated search + AI synthesis

Choose Poe if you:

Build applications with AI APIs
Need access to the broadest model selection (300+)
Want OpenAI-compatible API integration

I use Perplexity Pro for research and Poe for development. At $40/month total, I still save $20 compared to subscribing to each service directly, and I get more functionality.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!