> ## Documentation Index
> Fetch the complete documentation index at: https://chatbase.co/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Models Comparison

# AI Model Comparison Guide

This guide compares the AI models available for your AI agent by message credit cost, helping you balance capability against price. Each model is assessed across the dimensions that matter most: technical capability, empathy and communication, speed, the ability to take actions (such as escalating to a human, booking meetings, or changing subscriptions), and handling multi-step or complex tasks.

## Recommended Models by Credit Cost

Models are grouped below by how many message credits each consumes per message, listed from lowest to highest cost.

### Recommended 1 Credits / Message Models:

GPT-5.4 Mini\
GPT-5.4 Mini is a faster, more cost-efficient version of GPT-5.4, ideal for well-defined tasks and precise prompts where speed and accuracy matter, while retaining the core capabilities of the 5.4 series. It tends to give short, concise answers.\
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GPT-5.1\
GPT-5.1 is an enhanced iteration of GPT-5 with stronger reasoning, better context understanding, and optimized performance across a wide range of tasks, offering solid accuracy and efficiency for complex workflows. It tends to give longer answers.\
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Gemini 3.1 Flash Lite\
Gemini 3.1 Flash Lite is a lightweight, cost-efficient model in the Gemini 3 series, optimized for high-volume, low-latency tasks. It delivers fast responses with solid reasoning while minimizing resource usage, making it well suited to applications where speed and affordability are paramount.

GPT-5 Mini\
GPT-5 Mini is OpenAI's streamlined variant of GPT-5, offering high-quality reasoning and multimodal capabilities with strong speed and cost efficiency. Its 400,000-token context window handles extensive documentation and long customer conversations.

### Recommended 2 Credits / Message Models:

GPT-5.4\
GPT-5.4 builds on GPT-5.2 with powerful reasoning, strong context retention, and dependable performance on demanding tasks, delivering high accuracy and reliability for enterprise workflows.

Gemini 3.5 Flash\
Gemini 3.5 Flash is a Google reasoning model that delivers fast, high-quality responses. It handles complex questions, multi-step instructions, and image understanding with ease, making it a strong fit for agents that need solid reasoning at low latency.

Gemini 3.1 Pro\
Gemini 3.1 Pro is an iteration in the Gemini 3 series that builds on Gemini 3 Pro with stronger reasoning, improved coding, and better performance on complex multi-step tasks. It excels at advanced problem-solving, planning, and following intricate instructions.

### Recommended 3 Credits / Message Models:

Claude Sonnet 4.6\
Claude Sonnet 4.6 is an Anthropic model in the Sonnet series that builds on 4.5 with stronger reasoning, improved instruction following, and better performance on complex multi-step tasks. It offers an excellent balance of intelligence and speed for everyday workflows.

### Recommended 4 Credits / Message Models:

GPT-5.5\
GPT-5.5 is one of OpenAI's most capable models, advancing beyond GPT-5.4 with notably stronger reasoning, improved context retention, and better performance across highly demanding tasks. It delivers high accuracy and efficiency for enterprise workflows.

### Recommended 5 Credits / Message Models:

Claude Opus 4.6\
Claude Opus 4.6 is a powerful model in the Opus series that builds on 4.5 with stronger reasoning, improved instruction following, and better performance on complex multi-step tasks. It excels at demanding coding challenges, agentic workflows, and sophisticated problem-solving while managing context efficiently.

### Recommended 6 Credits / Message Models:

Claude Opus 4.8\
Claude Opus 4.8 is Anthropic's most capable model, featuring a 1M-token context window, adaptive thinking, and enhanced reasoning over PDFs, diagrams, and unstructured content. It excels at demanding coding challenges, agentic workflows, and sophisticated problem-solving, with lower prompt cache minimums and improved efficiency.