Multi-Model Chat

Overview

PolyChat-AI’s multi-model chat feature allows you to run up to 3 different AI models simultaneously on the same prompt, enabling direct comparison of responses, capabilities, and performance across models.

Key Capabilities

Side-by-Side Comparison

View responses from multiple models in a clean grid layout

Model Diversity

Access 100+ models from GPT-4, Claude, Gemini, and more

Synchronized Input

Send the same message to all selected models at once

Independent Responses

Each model generates its response independently with full context

How It Works

Activating Multi-Model Mode

Click the multi-model icon in the chat interface
Enable grid view to activate comparison mode
Select up to 3 different models from the dropdown
Start chatting - your message goes to all selected models

Enable Grid View

Click the grid icon in the top navigation to switch to multi-model layout

Select Models

Choose 2-3 different models you want to compare. Popular combinations:

GPT-4o + Claude 3 Sonnet + Gemini 2.5 Pro
GPT-4 Turbo + Claude 3.5 Sonnet + Gemini 2.5 Flash

Send Message

Type your message once - it’s automatically sent to all selected models

Compare Responses

View responses side-by-side in the grid layout with model identification

Popular Model Combinations

For Coding Tasks

// Recommended: Compare specialized coding models
const codingModels = [
  'openai/gpt-4o',                    // General purpose, strong at code
  'anthropic/claude-3.5-sonnet',      // Excellent reasoning
  'google/gemini-2.5-flash-preview'   // Fast, good at code
];

Why this combination?

GPT-4o: Broad programming knowledge
Claude 3.5 Sonnet: Superior code reasoning and debugging
Gemini 2.5 Flash: Quick responses with large context

For Creative Writing

const creativeModels = [
  'anthropic/claude-3.5-sonnet',    // Nuanced, natural language
  'openai/gpt-4o',                  // Creative and diverse
  'google/gemini-2.5-pro'           // Fast iterations
];

For Analysis Tasks

const analysisModels = [
  'anthropic/claude-3-opus',        // Deep reasoning
  'openai/gpt-4-turbo',             // Comprehensive analysis
  'google/gemini-2.5-pro'           // Multi-modal analysis
];

Model Selection

Available Models

Access to 100+ language models via OpenRouter:

Popular Models
Free Models
Specialized Models

From src/services/openRouter.ts, popular available models:

GPT-4o - Latest from OpenAI, multimodal
Claude 3.5 Sonnet - Latest from Anthropic
Claude 3 Opus - Most capable Claude model
Gemini 2.5 Pro - Latest from Google
Gemini 2.5 Flash - Fast responses
GPT-4 Turbo - Previous generation OpenAI

Available for testing without credits:

// From getTopWeeklyModels() function
{
  id: 'openrouter/free',
  name: 'Free Models',
  desc: 'Accès gratuit aux modèles IA',
  emoji: '🎁',
  isFree: true
}

Model Information Display

Each response shows:

Model name and identifier
Response generation time
Character/token count
Model capabilities (coding, vision, etc.)

Grid Layout

Visual Organization

┌─────────────────┬─────────────────┬─────────────────┐
│   GPT-5.2      │  Claude 4.5     │  Gemini 3 Flash │
│                 │                 │                 │
│   Response 1    │   Response 2    │   Response 3    │
│                 │                 │                 │
│   [Regenerate]  │   [Regenerate]  │   [Regenerate]  │
└─────────────────┴─────────────────┴─────────────────┘

Responsive Design

Desktop: 3-column grid layout
Tablet: 2-column layout (third model stacks below)
Mobile: Single column, swipeable between models

Features in Multi-Model Mode

Independent Controls

Each model window supports:

Individual regeneration: Regenerate response from one model only
Copy response: Copy specific model’s response to clipboard
Model switching: Change a model in one panel without affecting others

Synchronized Features

Message history: Shared across all model panels
System prompts: Applied to all models uniformly
RAG context: Same context enhancement for all models
Templates: Applied to all models simultaneously

When using templates in multi-model mode, the same system prompt and user message template is applied to all selected models.

Use Cases

Model Selection & Testing

Use Case: Trying to decide which model works best for your use caseApproach:

Select 3 candidate models
Send representative prompts
Compare quality, speed, and style
Choose the best performer for your needs

Example: Testing code generation quality across GPT-4o, Claude, and DeepSeek

Quality Assurance

Use Case: Ensuring response accuracy and consistencyApproach:

Use multiple models to verify facts
Compare responses for consistency
Identify hallucinations or errors
Get consensus on complex topics

Example: Verifying technical documentation across multiple models

Creative Exploration

Use Case: Generating diverse creative optionsApproach:

Select models with different “personalities”
Generate multiple creative variations
Cherry-pick best elements from each
Combine ideas for final output

Example: Writing product descriptions with different tones and styles

Performance Benchmarking

Use Case: Comparing model speed and efficiencyApproach:

Send identical complex prompts
Measure response time for each model
Compare output quality vs speed
Optimize cost/performance ratio

Example: Finding the fastest model that maintains acceptable quality

Technical Implementation

Concurrent API Calls

// From: src/hooks/useChat.tsx
// Multi-model sends messages to all models concurrently

const sendMessageToAll = async (message: string) => {
  const selectedModels = [model1, model2, model3].filter(Boolean);
  
  // Send to all models in parallel
  const promises = selectedModels.map(model => 
    streamAIResponse(messages, apiKey, model, onChunk, systemPrompt)
  );
  
  // Wait for all responses
  await Promise.all(promises);
};

Performance Optimization

Parallel processing: All models receive requests simultaneously
Independent streaming: Each model streams independently
Abort controllers: Cancel individual model requests without affecting others
Resource management: Efficient memory handling for multiple responses

Best Practices

Start with 2 Models

Begin with 2 models for easier comparison, add a third for comprehensive testing

Mix Price Points

Combine premium and budget models to balance cost and quality

Use Diverse Models

Select models from different providers for varied perspectives

Monitor Usage

Multi-model mode uses more API credits - track with Ctrl+U

Cost Considerations

API Usage: Running 3 models simultaneously uses 3x the API credits. Monitor your usage dashboard (Ctrl/Cmd + U) to track costs.

Cost Optimization Strategies:

Use free or budget models for initial testing
Switch to premium models only when needed
Use 2 models instead of 3 when appropriate
Combine one premium model with budget alternatives

Limitations

Maximum 3 models: Interface supports up to 3 simultaneous models
API rate limits: Subject to OpenRouter API rate limits per model
Browser performance: Many long conversations may impact browser performance
Context windows: Each model has its own context window limits

Next: Templates

Explore 27 pre-built conversation templates across 7 categories

Get Started

Core Features

Guides

Advanced

Overview

Key Capabilities

Side-by-Side Comparison

Model Diversity

Synchronized Input

Independent Responses

How It Works

Activating Multi-Model Mode

Popular Model Combinations

For Coding Tasks

For Creative Writing

For Analysis Tasks

Model Selection

Available Models

Model Information Display

Grid Layout

Visual Organization

Responsive Design

Features in Multi-Model Mode

Independent Controls

Synchronized Features

Use Cases

Technical Implementation

Concurrent API Calls

Performance Optimization

Best Practices

Start with 2 Models

Mix Price Points

Use Diverse Models

Monitor Usage

Cost Considerations

Limitations

Next: Templates

Build docs developers (and LLMs) love

Get Started

Core Features

Guides

Advanced

​Overview

​Key Capabilities

Side-by-Side Comparison

Model Diversity

Synchronized Input

Independent Responses

​How It Works

​Activating Multi-Model Mode

​Popular Model Combinations

​For Coding Tasks

​For Creative Writing

​For Analysis Tasks

​Model Selection

​Available Models

​Model Information Display

​Grid Layout

​Visual Organization

​Responsive Design

​Features in Multi-Model Mode

​Independent Controls

​Synchronized Features

​Use Cases

​Technical Implementation

​Concurrent API Calls

​Performance Optimization

​Best Practices

Start with 2 Models

Mix Price Points

Use Diverse Models

Monitor Usage

​Cost Considerations

​Limitations

Next: Templates

Build docs developers (and LLMs) love

Overview

Key Capabilities

How It Works

Activating Multi-Model Mode

Popular Model Combinations

For Coding Tasks

For Creative Writing

For Analysis Tasks

Model Selection

Available Models

Model Information Display

Grid Layout

Visual Organization

Responsive Design

Features in Multi-Model Mode

Independent Controls

Synchronized Features

Use Cases

Technical Implementation

Concurrent API Calls

Performance Optimization

Best Practices

Cost Considerations

Limitations