It could benefit startups, research teams, and individual developers who previously found higher-tier model access cost-prohibitive.

Already, since launch, GPT-4o offered a maximum 128,000 context window — the amount of tokens the model can handle in any one interaction, including both input and output tokens.

All systems can be understood using an input-process-output (IPO) model, and the system we call “innovation” is no exception. This model is likely familiar to you from information technology ...

Even more striking, the o3-mini model costs just $1.10 per million input tokens and $4.40 per million output tokens, making it cheaper than even GPT-4o while providing much stronger performance on ...

For prompts up to 200,000 tokens, Gemini 2.5 Pro costs $1.25 per million input tokens (roughly 750,000 words, longer than the entire “Lord of The Rings” series) and $10 per million output tokens.