Brian P. Giroux

🔍 ChatGPT Model Comparison Guide

On 10 May 2025, I asked ChatGPT to create a concise but informative guide comparing the various versions of ChatGPT available at the time. The goal was to understand each model’s capabilities, limitations, and technical distinctions to help users choose the right tool for their needs.

This guide is a companion to the AI Model Recommendations by Task, which outlines which model is best suited for different kinds of tasks. Together, these pages form a practical reference for evaluating and selecting the most appropriate ChatGPT model.

Model Best Suited For Strengths Limitations
GPT-4o (2024) High-quality general and professional use Fast, smart, multimodal (text, vision, audio), excellent for creative, analytical, and coding tasks Some edge cases still favour domain-specific models
GPT-4o-mini Everyday use with lower resource needs Lightweight, fast, good for daily chat, simple tasks, and smaller apps Lower reasoning, shorter context window
GPT-4o-mini-high Mid-range apps needing smarter output Higher quality than mini; useful for basic coding, analysis Still limited for complex logic or extended reasoning
GPT-4-turbo (o3) Existing ChatGPT Plus users before 2024 switch Optimized cost/performance, good for most use cases Replaced by GPT-4o; now legacy
GPT-4-turbo (o4-mini) Developer-optimised variant of GPT-4 Faster, cheaper for devs; used in OpenAI API plans Less intelligent than GPT-4o; no audio/vision
GPT-4.5 (Not officially released as of May 2025) Rumoured or tested model N/A N/A

🔧 Side-by-Side Technical Breakdown

Feature / Model GPT-4o GPT-4o-mini GPT-4o-mini-high GPT-4-turbo (o3) GPT-4-turbo (o4-mini)
Capabilities & Intelligence ⭐⭐⭐⭐½
High reasoning, creativity, logic
⭐⭐
Basic logic, great for chatbots
⭐⭐½
Good for simpler tasks, casual code
⭐⭐⭐⭐
Strong generalist
⭐⭐½
Balanced cost-efficiency
Speed & Responsiveness ⚡⚡⚡⚡
Fastest yet
⚡⚡⚡⚡
Very fast
⚡⚡⚡
Fast
⚡⚡½ ⚡⚡⚡
Multimodal Abilities ✅ Text, Vision, Audio (input/output) ✅ (text + image input only)
Accuracy & Context Retention 🧠🧠🧠🧠½
128K context, solid accuracy
🧠🧠
Shorter context (~8K)
🧠🧠½
Mid-range (~32K)
🧠🧠🧠🧠
128K context
🧠🧠½
Likely shorter
Technical & Dev Use ✅ Full-stack apps, RAG, agents ✅ Simple bots, tools ✅ Assistant-level logic ✅ Full API access, stable ✅ API-focused, good for scale
Pricing & Access Free & Plus (web) + API Likely free-tier or low-cost API Low-mid API tier Replaced in ChatGPT UI, legacy API API only (OpenAI backend use)

🔑 Key Takeaways

💡 Tips for Choosing