Moltbot AI Models - Claude 4.5, OpenAI & Local LLMs

AI Models & LLM Providers

Quick Summary

The brain of Moltbot is the Large Language Model (LLM) driving it. Moltbot is model-agnostic, meaning it can interface with a variety of providers. This flexibility allows you to choose the best model for your specific needs—balancing intelligence, speed, and cost. This page covers the configuration for top-tier cloud models like Anthropic's Claude 4.5 and OpenAI's GPT-4o, as well as privacy-focused local options using Ollama or LocalAI. We provide benchmark comparisons to help you decide which "brain" is right for your digital employee.

Anthropic Claude Integration

[Content placeholder: Setting up Claude 4.5/3.5 Sonnet. Discussing its superior reasoning and coding capabilities. Configuration steps. ~350 words]

OpenAI GPT Models

[Content placeholder: Configuring GPT-4o and GPT-3.5 Turbo. Function calling reliability and cost optimization. ~350 words]

Local LLMs with Ollama

[Content placeholder: How to run Llama 3, Mistral, or Qwen locally and connect them to Moltbot. Privacy benefits and hardware requirements. ~400 words]

Model Performance Benchmarks

[Content placeholder: Comparative table and analysis of response time, accuracy, and cost per token for supported models. ~300 words]

Switching Models Dynamically

[Content placeholder: Advanced configuration to use cheaper models for simple queries and smarter models for complex tasks. ~200 words]

Frequently Asked Questions

Which model is best for coding tasks?

Currently, Claude 3.5 Sonnet and GPT-4o are the top performers for code generation and technical reasoning.

Can I fine-tune a model for Moltbot?

Yes, if you use a provider that supports fine-tuning (like OpenAI) or run a custom fine-tuned local model, you can point Moltbot to it.