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OpenAI’s GPT-5.5 — codenamed "Spud" — launched on April 23, 2026, and it’s being positioned as a step toward what Greg Brockman calls an AI "super app." But how much of that is real, and how much is it just marketing dressed up as a product launch?
In this deep dive, I go through everything that actually matters about GPT-5.5: the technical specs under the hood, the benchmark results that prove (and disprove) OpenAI’s claims, and the honest competitive picture against Claude Opus 4.7 and Gemini 3.1 Pro. No hype, no hand-waving — just what the model is genuinely good at, where it falls short, and how to actually get value out of it whether you’re paying or on the free tier.
We cover the 1.05 million token context window, the new reasoning effort setting, the multimodal inputs most users still aren’t touching, the Terminal-Bench 2.0 and Expert-SWE benchmark numbers, the fantasy creature reinforcement learning quirk that fast-tracked GPT-5.6, and the GPT-5.5 Instant rollout for free-tier ChatGPT users.
If you want an evidence-first read on whether GPT-5.5 is worth your time — and which model is actually right for your work — this is the breakdown.
⏱️ Chapters
00:00 The setting most users are missing
1:36 The backstory: how GPT-5.5 came to be
3:48 The technical specs: what’s actually under the hood
6:48 The benchmark results: where GPT-5.5 actually wins
9:20 The competition: how it stacks up against Claude and Gemini
11:43 The use cases: what GPT-5.5 is actually built for
14:02 The versions and pricing: what you actually get
16:32 The verdict
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💬 Which GPT-5.5 feature are you most excited to actually use? Drop it in the comments.
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