GPT‑5.5
OpenAI · Released April 23, 2026
What It Actually Is
If the history of AI were a rock band, ChatGPT would be The Beatles — not necessarily the most technically sophisticated at every moment, but the one that changed what everyone expected music to sound like. GPT-5.5 is the album where the band stops playing covers and starts writing symphonies. It doesn’t just answer questions — it plans, executes, uses tools, checks its own work, and keeps going until the job is actually done.
Think of it as upgrading from a very smart assistant to a very smart colleague who never forgets a brief. GPT-5.5 plans multi-step problems, uses tools autonomously, operates your computer when needed, and executes workflows that used to require multiple models and manual orchestration. It reads, writes, generates images, browses the web, runs code, and does it all with 40% fewer tokens — meaning your complex tasks finish faster and cheaper, even at the higher per-token price. The agentic shift is real: early power users report finishing complex workflows with less prompting and fewer rounds of correction. As Ethan Mollick put it: “It builds exactly what I ask for.”
Key Strengths
- GDPval dominance (84.9%): Tested across 44 real-world occupations — legal analysis, financial modeling, customer support, data science — GPT-5.5 beats GPT-5.4’s 83.0% and Opus 4.7’s 80.3%. This measures whether the model actually helps professionals finish their jobs, not toy benchmarks.
- Agentic execution that actually works: Plans multi-step tasks, uses tools on its own, checks its own output, and keeps going until the job is done. OSWorld-Verified 78.7% (up from 75.0%) means it navigates your desktop better than most interns.
- 40% fewer output tokens: Same per-token latency as GPT-5.4, but it says what it means in fewer words. Real-world cost per task drops despite the doubled per-token price — the math works out for heavy users.
- Tau2-Bench Telecom 98.0%: Complex customer-service agent workflows completed nearly perfectly. This is the benchmark that proves the ‘agent’ label isn’t just marketing.
- Ecosystem breadth: Available on web, iOS, Android, desktop apps, and via API. Custom GPTs, Codex integration, persistent memory, Canvas, image generation — everything you already use, now powered by a brain that actually follows through.
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GDPval — 84.9% Real-world professional task performance across 44 occupations. Beats GPT-5.4 (83.0%), Opus 4.7 (80.3%), and Gemini 3.1 Pro (67.3%) decisively.
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Artificial Analysis — #1 Intelligence Index score of 60 — 3 points clear of the previous three-way tie. The broadest independent composite benchmark.
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OSWorld-Verified — 78.7% Computer-use benchmark where the model operates desktop applications autonomously. Up from GPT-5.4's 75.0%.
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Tau2-Bench — 98.0% Complex customer-service agent workflows completed near-perfectly. Proves agentic capability in structured business tasks.
Honest Limitations
- Pricing jump: API costs double to $5/M input and $30/M output. Pro tier is steeper still. The 40% token efficiency offsets this for heavy users, but light users will feel the bill.
- Hallucination caveat: One early independent report flagged higher hallucination rates on certain omniscience evaluations. OpenAI claims better judgment through reasoning, but treat truth-critical work (legal, medical, finance) with verification layers. This needs more independent testing.
- API not yet live: At launch, GPT-5.5 is available in ChatGPT and Codex but the API is coming ‘very soon.’ If you build on the API, you’re waiting.
- Safety guardrails tightened: The strongest safety system OpenAI has shipped. Most users won’t notice, but power users pushing edge cases — security research, creative fiction, adversarial testing — will hit occasional refusals.
The Verdict: The agentic era gets its clearest champion. GPT-5.5 doesn’t just iterate on GPT-5.4 — it redefines what ‘good enough to ship work’ means. The GDPval lead, the Artificial Analysis #1, and the Tau2-Bench near-perfection make it the everyday AI that finally earns the word ‘colleague.’ It costs more per token — but finishes more work per dollar. If you subscribe to one AI in 2026, this is the one that gets complex, ambiguous, multi-tool work across the finish line with minimal babysitting.