Choose Your AI Weapon: The Brutal Truth About ChatGPT Model Selection

When choosing between different ChatGPT models, users now have more options than ever before. OpenAI’s lineup includes GPT-4o, GPT-4o mini, GPT-4.5, and the specialized o1 series. Each model serves different purposes and comes with distinct price tags.

GPT-4o stands as OpenAI’s flagship model. It processes text and images while generating 134.9 tokens per second with 0.41 seconds of delay. The model costs $2.50 per million input tokens and $10 per million output tokens. It can handle up to 128,000 tokens of context and produce 16,384 tokens in response. Beyond text interactions, GPT-4o excels in processing audio and visual content simultaneously, offering comprehensive, contextualized answers.

GPT-4o processes 134.9 tokens per second at $2.50 per million input tokens, handling 128,000-token contexts with minimal delay.

GPT-4o mini offers similar features but runs slightly slower at 112.2 tokens per second with 0.63 seconds of delay. Its main advantage is cost. Users pay only $0.15 per million input tokens and $0.60 per million output tokens. This makes it attractive for budget-conscious applications that don’t need top speed.

GPT-4.5 arrived in late February 2025 as OpenAI’s most advanced model. ChatGPT Pro subscribers pay around $200 monthly to access it. The model scored highest on AIME 2024 and 2025 math benchmarks. It follows instructions better and makes fewer mistakes than earlier versions. GPT-4.5 particularly excels at analyzing files and images.

The o1 and o1-mini models tackle complex problems in research, strategy, coding, math, and science. These specialized tools complement the general-purpose GPT-4 models rather than replacing them. The o1-preview generates responses at 151.3 tokens per second while o1-mini reaches 237 tokens per second, making them surprisingly fast despite their focus on complex reasoning.

All current models contain information only up to October 2023 or earlier. They can’t provide facts about recent events without additional data. GPT-4o integrates text, voice, and vision processing in one system. It handles data extraction, classification, and reasoning tasks well.

Model selection affects both performance and cost. GPT-4o works best for applications needing speed and accuracy. GPT-4o mini suits projects with tight budgets. GPT-4.5 handles nuanced conversations and complex analysis tasks. The o1 series targets technical problem-solving.

OpenAI designed these models to work together. Each fills specific needs at different price points. Users must match their requirements to the right model rather than automatically choosing the newest or cheapest option.