Cut your AI cost IN HALF (EASY)
Used as the cheaper coding model that implements Fable's spec via Codex. The creator says OpenAI's generous quotas make it effectively cheap.
GPT-5.5 at a glance
- What is GPT-5.5?
- GPT-5.5 is a model from OpenAI. OpenAI language model available through ChatGPT, Codex and the API, used for coding, review and general tasks.
- Who makes GPT-5.5?
- GPT-5.5 is made by OpenAI.
- Does GPT-5.5 work in the EU?
- Available in the EU. OpenAI publishes Europe Terms of Use for EEA residents (contracting entity OpenAI Ireland Ltd), a DPA, GDPR compliance statements, and data residency for ChatGPT and API business products. Model-specific EU availability for GPT-5.5 is not explicitly stated. Last verified 14 Nov 2026.
- How much does GPT-5.5 cost?
- Freemium. Available through ChatGPT plans and per-token API pricing; specific GPT-5.5 prices and plan availability not confirmed in the provided material. A creator noted higher per-response API cost than local models but generous Codex quotas. Licence: Proprietary.
- Where was GPT-5.5 shown?
- In 8 creator videos by Matthew Berman, Matt Wolfe, AI Search. Most recently by Matthew Berman on 7 Jul 2026, at 1:34 in “Cut your AI cost IN HALF (EASY)”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
About
GPT-5.5 is a large language model from OpenAI. The provided official page text does not include a model card or specifications, so details such as release date, context window and benchmarks are not confirmed here.
YouTube creators describe it in practical workflows. Matt Wolfe added it to the Odysseus app through an API key as a stronger cloud baseline, reporting better answers and noticeably better SVG output than local models, at a higher per-response cost. Matthew Berman used it through Codex as a comparatively cheap coding model that implements a specification written by another model, and as a code reviewer offering an alternative viewpoint in a multi-model workflow.
It is accessed through OpenAI's products (ChatGPT, Codex) and the OpenAI API. It is a proprietary, closed-weights model.
Key features
- Accessible via ChatGPT, Codex and the OpenAI API
- Used for code implementation and code review in creator workflows
- Reported to produce better SVG output than local models
- Business and API offerings support data residency options and a DPA
8 moments
As seen on YouTube
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
MA
I figured out the best way to vibe codeMatthew Berman18 Jun 2026
Used in the creator's multi-model workflow as the code reviewer to give an alternative viewpoint.
I Tried PewDiePie’s Odysseus AI So You Don’t Have To (Its FREE)
Added to Odysseus via API key and used as the stronger cloud baseline. It gave better answers and far better SVGs than the local models, at a higher per-response cost.
MA
The Government is banning AI...Matthew Berman13 Jun 2026
Cited as a model that is nearly as capable as Mythos and Fable at finding vulnerabilities, and is still being served by OpenAI. The creator expects it to be just as jailbreakable as other models.
AI
Claude Fable 5 is here!AI Search11 Jun 2026
Used as the comparison model: its 3D scene reconstruction and music output were compared to Fable 5, and it scored lower on benchmarks and costs $30/M output tokens. Creator still prefers it with Codex for daily tasks.
Perplexity Just Built an AI That Does Everything
Powered the planning phase when Perplexity Computer built the knowledge base web app.
DeepSWE just changed the benchmark game...
Tops the DeepSWE leaderboard at about 70%, 15+ points above Opus 4.7. It is also cheaper per trial ($5.80), uses fewer tokens (about 47k) and runs faster than Opus 4.7. It follows prompts literally and has the lowest rate of missing stated behaviors.
MA
Cursor just beat EVERYONE.Matthew Berman26 May 2026
Nearly as good as Opus 4.7 on CursorBench but cheaper, about $4 per task at extra high. Praised for its price-to-capability ratio.
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