Best AI Models for ClawdBot

🤖 AI Model Overview

ClawdBot is model-agnostic - you can use any supported AI provider. Each has different strengths, costs, and performance characteristics.

Supported Providers

Quick Decision Guide

• 💻 For coding: Claude 3.5 Sonnet
• ✍️ For writing: GPT-4 or Claude
• 💰 For budget: Gemini Flash or Ollama
• 🔒 For privacy: Local Ollama models
• ⚡ For speed: Claude Haiku or Gemini Flash
• 🎯 For accuracy: Claude 3.5 Sonnet or GPT-4

🧠 Anthropic Claude

Recommended by ClawdBot creator. Claude excels at coding, analysis, and following complex instructions.

Available Models

Strengths

• ✅ Exceptional coding ability - Best for software development
• ✅ Long context window - 200K tokens (entire codebases)
• ✅ Prompt caching - 90% cost reduction on repeated context
• ✅ Instruction following - Excellent at complex, multi-step tasks
• ✅ Safety - Strong resistance to prompt injection
• ✅ Reasoning - Great for analysis and problem-solving

Weaknesses

• ❌ More expensive than Gemini
• ❌ Occasionally overly cautious
• ❌ No native image generation

Real-World Performance

Coding Task (React component):

• Response time: 2-3 seconds
• Code quality: ⭐⭐⭐⭐⭐
• Cost per request: ~$0.02

Configuration

# In config.yaml
providers:
  anthropic:
    apiKey: "your-api-key"
    model: "claude-3-5-sonnet-20241022"
    maxTokens: 4096
    temperature: 0.7
    enableCaching: true  # Recommended!

See detailed guide: Using Claude with ClawdBot

✨ OpenAI GPT-4

The most well-known AI model. Great general-purpose performance.

Available Models

Strengths

• ✅ Versatile - Excellent at many tasks
• ✅ Creative writing - Best for content generation
• ✅ Multimodal - GPT-4o handles images natively
• ✅ Function calling - Great for tool use
• ✅ Well-documented - Extensive API docs
• ✅ Reliable - High uptime and stability

Weaknesses

• ❌ Expensive - Higher costs than Claude or Gemini
• ❌ Coding - Not as strong as Claude for complex code
• ❌ Context - Smaller window than Claude (128K vs 200K)

Real-World Performance

Creative Writing Task (blog post):

• Response time: 3-5 seconds
• Quality: ⭐⭐⭐⭐⭐
• Cost per request: ~$0.04

Configuration

# In config.yaml
providers:
  openai:
    apiKey: "your-api-key"
    model: "gpt-4-turbo"
    maxTokens: 4096
    temperature: 0.8

🌟 Google Gemini

Google's latest AI models. Best price-to-performance ratio.

Available Models

Strengths

• ✅ Extremely cheap - Flash is 40x cheaper than GPT-4
• ✅ Massive context - Up to 2M tokens (entire books)
• ✅ Fast - Quick response times
• ✅ Multimodal - Native image, video, audio support
• ✅ Good quality - Competitive with GPT-4 for many tasks

Weaknesses

• ❌ Coding - Not as strong as Claude
• ❌ Newer - Less battle-tested than GPT-4
• ❌ Availability - Some regions have limited access

Real-World Performance

General Q&A Task:

• Response time: 1-2 seconds
• Quality: ⭐⭐⭐⭐
• Cost per request: ~$0.001 (Flash)

Configuration

# In config.yaml
providers:
  gemini:
    apiKey: "your-api-key"
    model: "gemini-1.5-flash"
    maxTokens: 4096
    temperature: 0.7

See detailed guide: Using Gemini with ClawdBot

🏠 Local Models (Ollama)

Run AI models completely free on your own hardware. Perfect for privacy and offline use.

Popular Ollama Models

Strengths

• ✅ 100% Free - No API costs ever
• ✅ Complete privacy - Data never leaves your machine
• ✅ Offline capable - Works without internet
• ✅ No rate limits - Use as much as you want
• ✅ Customizable - Fine-tune models for your needs

Weaknesses

• ❌ Slower - 5-15 seconds vs 1-3 for cloud APIs
• ❌ Hardware requirements - Needs powerful computer
• ❌ Lower quality - Not as capable as GPT-4/Claude
• ❌ Setup complexity - More technical to configure

Installation

# Install Ollama
curl -fsSL https://ollama.ai/install.sh | sh

# Download a model
ollama pull llama3.1

# Test it
ollama run llama3.1 "Hello!"

Configuration

# In config.yaml
providers:
  ollama:
    baseUrl: "http://localhost:11434"
    model: "llama3.1"
    temperature: 0.7

Hardware Recommendations

• 8B models: M1 Mac, 16GB RAM PC
• 13B models: M2 Pro, 32GB RAM PC
• 70B models: Mac Studio, High-end PC with 64GB+ RAM

📊 Side-by-Side Comparison

Performance Comparison

Cost Comparison (1000 Messages/Month)

🎯 Recommendations by Use Case

For Software Developers

Best: Claude 3.5 Sonnet

Why: Superior code generation, debugging, and refactoring. Understands complex codebases.

Alternative: GPT-4 Turbo for general coding + creative tasks

For Content Creators

Best: GPT-4 Turbo

Why: Excellent creative writing, storytelling, and content generation.

Alternative: Claude 3.5 for analytical content, Gemini Flash for budget

For Budget-Conscious Users

Best: Gemini 1.5 Flash

Why: 40x cheaper than GPT-4, still very capable for most tasks.

Alternative: Ollama (free) if you have powerful hardware

For Privacy Advocates

Best: Ollama (Llama 3.1)

Why: 100% local, data never leaves your machine, works offline.

Alternative: Any cloud model with ClawdBot's local memory (still private)

For General Use

Best: Claude 3.5 Sonnet or GPT-4 Turbo

Why: Versatile, high quality, reliable.

Alternative: Mix of Gemini Flash (cheap tasks) + Claude (complex tasks)

For Research & Analysis

Best: Claude 3.5 Sonnet

Why: Excellent reasoning, long context for processing documents.

Alternative: Gemini 1.5 Pro for massive context (2M tokens)

🔄 How to Switch Models

Method 1: Configuration File

# Edit ~/.clawdbot/config.yaml
providers:
  default: "anthropic"  # Change to: openai, gemini, ollama
  
  anthropic:
    model: "claude-3-5-sonnet-20241022"
  
  openai:
    model: "gpt-4-turbo"
  
  gemini:
    model: "gemini-1.5-flash"

Method 2: Runtime Switching

# In your chat
You: Switch to GPT-4
Bot: Now using GPT-4 Turbo

You: Use Claude for this coding task
Bot: Switched to Claude 3.5 Sonnet

You: Back to Gemini
Bot: Now using Gemini 1.5 Flash

Method 3: Multi-Model Setup

Use different models for different tasks automatically:

# In config.yaml
routing:
  rules:
    - pattern: "code|debug|refactor"
      provider: "anthropic"
      model: "claude-3-5-sonnet"
    
    - pattern: "write|story|blog"
      provider: "openai"
      model: "gpt-4-turbo"
    
    - pattern: "quick|simple"
      provider: "gemini"
      model: "gemini-1.5-flash"

Testing Models

# Test connection to each provider
clawdbot test claude
clawdbot test openai
clawdbot test gemini
clawdbot test ollama

❓ Model FAQ