OpenAI: GPT-5.4 Mini

In plain terms, this is the model you reach for when you want most of what GPT-5.4 does but faster and cheaper, sized for high-throughput workloads rather than the hardest single problems. Day to day it handles text and image inputs across reasoning, coding, and general assistant tasks, so a team could route the bulk of an application's everyday requests, summarizing threads, drafting replies, extracting fields, through it and reserve a pricier model for edge cases. It carries the full family toolkit: a 400,000-token context window larger than most models listed here, vision input, chain-of-thought reasoning, tool and function calling, and structured JSON output, with an August 2025 knowledge cutoff, priced at 0.75 dollars per million tokens. Against alternatives, it sits deliberately mid-tier: unlike frontier options such as Claude Sonnet 5 it does not chase peak reasoning, and unlike the nano variant at a fifth the price it keeps more capability in reserve for mixed workloads. The only stated catch is no free tier, so usage is billed per token. Ideal for developers running steady-volume research and writing pipelines who want balanced capability without frontier pricing. Choose it as a sensible default workhorse; move down to nano for pure volume or up to a Pro-tier model when accuracy on hard tasks is the priority.