GPT-5.5 in 7 Minutes: Benchmarks, Codex Agents, Context Window, and Pricing

Official Sources

Resource	Description
Watch: GPT-5.5 in 7 Minutes	The full walkthrough on the DevDigest channel
OpenAI	Official site for ChatGPT and Codex

What This Video Covers

GPT-5.5 in 7 Minutes reviews OpenAI's newly released GPT-5.5, now rolling out to ChatGPT and Codex and positioned as a new class of model. The video works through benchmarks, its behavior as a Codex agent, the context window, and pricing.

This post is a companion to the video above. Watch the seven-minute review for the numbers and the demo, then use the links here to place GPT-5.5 in context.

The Idea in One Line

GPT-5.5 is OpenAI's next step across both ChatGPT and Codex. The interesting framing is that it lands in the coding agent, not just the chat product, so the benchmarks and pricing matter to anyone building with Codex.

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Why It Matters

Four things the video weighs are worth your attention:

Benchmarks set the baseline. New release, new scores. The GPT-5.5 developer guide puts the numbers next to what you can actually do with them.
Codex agents are the real test. A model that runs inside Codex gets judged on agentic coding, not just single answers. GPT-5.5 in Codex production looks at how it holds up on real work.
Context window changes scope. How much the model can hold at once decides which tasks are even feasible.
Pricing decides adoption. The cost per token is what turns a benchmark win into a practical choice.

Where It Fits

GPT-5.5 arrives into a competitive field. GPT-5.5 versus Claude Opus 4.8 compares it against Anthropic's flagship, while Fable 5 versus GPT-5.5 and the GPT-5.5 hallucination benchmark against GLM 5.2 place it next to other recent releases. The comparisons are where a spec sheet turns into a decision.

Getting Started

The path the video points to is to try GPT-5.5 where you already work, whether that is ChatGPT or Codex, and judge it on tasks you understand well. Start with something you can grade yourself so the benchmarks become real numbers for your own workflow.

Watch the full GPT-5.5 in 7 Minutes review above, then run the model on a task of your own and see whether the new release earns the switch.