If you're building an AI agent for customer support, sales, marketing, internal workflow or specific usecase, the first is to choosing the right model matters.

Different models offer different strengths. Some excel in multi-step conversations, others are faster or more cost-effective, and some are better suited to real-time actions.

This guide compares the top AI models so you can pick what’s best for your use case.

Our Top Recommended Models

GPT-4 — Best for High-Stakes, Instruction-Following Tasks

• Still one of the most reliable models for following detailed instructions

• Performs better than GPT-4o in sensitive or high-risk workflows

• Slightly slower and expensive, but offers unmatched precision.

Best for: Scenarios where accuracy, instruction-following, and low tolerance for error matter—like banking, healthcare, or regulated industries.

GPT-4o (Omni) — Best All-Rounder

• Handles text, image, and voice inputs.

• Supports multiple languages fluently.

• Responds quickly even at high scale.

• Great at solving complex issues with reasoning.

• Communicates with high empathy, making it ideal for human-like support.

Best for: Large-scale, multilingual support teams that want a high-performing agent with empathy and reasoning.

Claude 3.7 Sonnet — Upgrade of 3.5 Sonnet

• Delivers clear, detailed explanations.

• Great at multi-step reasoning and technical problem-solving.

• Stands out in premium or enterprise-level support use cases.

Best for: Scenarios where agents need to explain things well, maintain transparency, and handle complex issues with domain expertise.

Claude 3.5 Sonnet — Empathy & Detailed Outputs

• Balances empathy with enriched replies.

• Ideal for detailed formatted, multi-step workflows.

Best for: Support flows that benefit from formatted, helpful outputs and user-friendly explanations.

High Accuracy, Complex Task Handling Models

GPT-4.5-preview

The most advanced OpenAI model. Extremely reliable for detailed instructions and high-stakes workflows. It’s slower and resource-heavy but ideal where accuracy matters more than speed.

• Excellent instruction-following

• Handles multi-step logic with minimal errors

• Best for healthcare, finance, or legal support

• Do support real-time actions.

o1

A reasoning AI model. Balances strong reasoning with structured outputs. Thinks before answering and produces a long internal chain of thought.

• High-intelligence decision-making in workflows

• Best suited for structured tasks and reasoning-focused applications

• Do support real-time actions.

deepseek-r1

A reasoning AI model like o1. More affordable. Works best for Chinese language tasks and queries that rely on large documents or logs.

• Reasoning-based responses

• Ideal for support involving manuals, logs, or internal documentation

• Does not support real-time actions.

o3-mini

The most efficient reasoning model in terms of cost. It’s fast, structured, and logical—great for scripted support flows.

• Reliable for logic-driven support

• Handles high volumes efficiently

• Use when you want Tier 1 logic without the high cost

• Can also perform realtime actions.

Fastest and Most Affordable Models

GPT-4o Mini
Faster than GPT-3.5 and better with visuals and languages. Great for high-volume bots.

• Use for multilingual support with low cost

• Supports images and light troubleshooting

GPT-3.5 Turbo (legacy)
Good enough for basic support and FAQs. Very fast and cheap.

• Use when cost matters more than logic

• Works for basic queries and low-risk interactions

Summary

• Need speed, cost-effective, and reliability? → Go with GPT-4o

• Need high accuracy in high-stakes tasks? → Stick with GPT-4, o3-mini

• Need explainability or formatted outputs? → Try Claude 3.7 or 3.5 Sonnet

• Need friend & formatted outputs → Try Deepseek‑v3

• For basic support or high-speed needs → GPT-3.5 Turbo or GPT-4o Mini

Let us know your use case, and we’ll help you finalise the right model.