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AI Model Support: Claude, GPT, and Local Models
2026/01/30

AI Model Support: Claude, GPT, and Local Models

MoltBot supports multiple AI models including Claude, GPT, and local models. Learn how to choose and configure the right AI backend for your needs.

AI Model Support in MoltBot

MoltBot is designed to work with multiple AI models, giving you the flexibility to choose the best option for your needs. Whether you prefer cloud-based models or want to run everything locally, MoltBot has you covered.

Supported AI Models

Anthropic Claude

Claude is MoltBot's default AI backend, known for:

  • Excellent reasoning capabilities
  • Strong safety features
  • Long context window
  • Natural conversation style

OpenAI GPT

Full support for GPT models including:

  • GPT-4 and GPT-4 Turbo
  • GPT-3.5 Turbo
  • Custom fine-tuned models

Local Models

Run AI completely offline with:

  • LLaMA and LLaMA 2
  • Mistral
  • Phi-2
  • Any GGUF format model

Choosing the Right Model

For Best Performance

Claude and GPT-4 offer the most capable responses, ideal for:

  • Complex reasoning tasks
  • Code generation
  • Creative writing

For Privacy

Local models keep everything on your machine:

  • No data sent to external servers
  • Works offline
  • Complete privacy

For Cost Efficiency

GPT-3.5 and smaller local models are great for:

  • High-volume tasks
  • Simple queries
  • Budget-conscious usage

Configuration

Set your preferred model in the config:

# Use Claude (default)
moltbot config set model claude

# Use GPT-4
moltbot config set model gpt-4

# Use a local model
moltbot config set model local/llama-2-7b

API Keys

For cloud models, you'll need API keys:

moltbot config set anthropic_key YOUR_KEY
moltbot config set openai_key YOUR_KEY

Model Switching

MoltBot can automatically switch between models based on:

  • Task complexity
  • API availability
  • Cost constraints

Configure fallback options:

moltbot config set fallback_model gpt-3.5-turbo

Performance Tips

  1. Use local models for simple, repetitive tasks
  2. Reserve powerful cloud models for complex reasoning
  3. Set up model routing for optimal cost/performance balance
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Categories

    AI Model Support in MoltBotSupported AI ModelsAnthropic ClaudeOpenAI GPTLocal ModelsChoosing the Right ModelFor Best PerformanceFor PrivacyFor Cost EfficiencyConfigurationAPI KeysModel SwitchingPerformance Tips

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