Jin’s Daily AI Trivia: Which OpenAI Model Is This?
Jin’s Daily AI Trivia: Which OpenAI Model Is This?
Today, OpenAI unveiled another “O-series” model—right on the heels of yesterday’s announcement of base model GPT‑4.1 (4.1, 4.1‑mini, and 4.1‑nano). The new lineup now includes:
- o3
- o3‑pro (coming soon)
- o4‑mini‑high
- o4‑mini
Confused by all these names? Let me break down the evolution of the GPT and O-series models for you:
GPT‑2 (2019)
- OpenAI’s first public release (1.5 B parameters).
GPT‑3 (2021)
- Sparked the AI hype.
- Davinci model: 175 B parameters.
- Underpins the original ChatGPT.
GPT‑3.5 (2022)
- Introduced the turbo variant and basic browsing.
- Marked the start of OpenAI’s subscription model.
GPT‑4 (2023)
- Estimated at 1.76 T parameters.
- First multimodal model (text + image inputs).
- Free ChatGPT users access GPT‑4‑turbo (text-only).
GPT‑4o (2024)
- “O” stands for “omni.”
- Real-time text, image, and audio input/output.
- Free users on image/audio get GPT‑4o‑mini; Plus users use GPT‑4o‑mini as their base.
GPT‑4o Imagen (March 2025)
- Native image generation—an alternative to DALL·E 3.
- Powers the new “Ghibli-style” image output.
GPT‑4.5 (2025)
- OpenAI’s largest, most expensive model yet.
- Available only to Plus and Pro subscribers.
GPT‑4.1 (2025)
- A leaner, more cost-effective spin‑down of GPT‑4.5.
- Replaces GPT‑4o in the lineup.
OpenAI‑o1 (2024)
- First “thinking” model with the “O” prefix. O-series.
- o1‑pro is the priciest AI model, at $150/600 USD per million tokens.
OpenAI‑o3 (2025)
- A leaner, more cost-effective spin‑down of o1.
- o3‑mini launched in January 2025 for Plus users.
- “o2” was skipped due to trademark issues.
- Full o3‑pro model to follow later this year.
OpenAI‑o4 (2025)
- Released alongside o3 today.
- Currently available only as o4‑mini and o4‑mini‑high.
- Includes basic image-transform tools (crop/rotate) for better analysis.
- Rumor has it OpenAI rushed to launch o4 to compete with Gemini 2.5 Pro and Qwen. (not even bigger model)
Initial Benchmarking:
o4‑mini behind Gemini 2.5 Pro by a slim margin—but it’s significantly cheaper, especially for large-token contexts. If you need robust multimodal performance on a budget, o4‑mini is your go‑to.
