This guide compares various AI models to help you select the best fit for your customer support AI agent. Each section highlights key strengths, particularly focusing on technical capability, empathy and communication, speed, taking actions (like booking meetings or changing subscriptions), and handling multi-step or complex tasks.
GPT-4o Mini is a lightweight, high-speed version of GPT-4o, designed for rapid, cost-effective customer support interactions while retaining strong multilingual and multimodal capabilities.Best Suited For:
Fast, high-volume customer support scenarios
Multilingual and image-based support inquiries
Scalable deployments where speed and efficiency are critical
Real-time troubleshooting and quick response needs
Note: GPT-4o Mini offers a balance of speed and capability, making it ideal for teams needing responsive support without sacrificing quality.
Claude Opus 4.1 is Anthropic’s latest flagship model, offering enhanced reasoning capabilities and improved performance across complex tasks.Best Suited For:
Advanced reasoning and analytical support scenarios
Complex troubleshooting requiring deep understanding
High-stakes customer support where accuracy and reliability are critical
GPT-OSS-120B is OpenAI’s open-weight model with 117 billion parameters, offering strong reasoning capabilities and cost-effective performance for customer support scenarios.Best Suited For:
Complex customer support scenarios requiring deep reasoning
High-volume support operations where cost-efficiency is important
GPT-OSS-20B is OpenAI’s smaller open-weight model with 21 billion parameters, optimized for balanced performance and accessibility in customer support applications.Best Suited For:
Standard customer support interactions with good reasoning capabilities
Cost-effective support operations for small to medium businesses