I Tested GPT-5.5 vs Opus 4.7 on 8 Real Tasks. Here's Who Won.

I Tested GPT-5.5 vs Opus 4.7 on 8 Real Tasks. Here's Who Won.

🎙 Pat Simmons 👥 24K 📅 April 28, 2026 ⏱ 26 min 👁 885 📄 expert opinion 🧭 2026-09-07
Available in: English (current) Français

Keywords

GPT-5.5Claude Opus 4.7AI codingUI designoffice tasks

Summary

In this video, Pat Simmons conducts a head-to-head comparison of OpenAI’s GPT-5.5 and Anthropic’s Claude Opus 4.7 across eight tasks, divided into coding and real-world office tasks. The coding tasks include building landing pages (with and without design direction), an email client, an e-commerce dashboard, a 3D animal cell using Three.js, and a 2D asteroid game. The office tasks involve creating a marketing performance deck and a finance board pack from provided CSV data. Each model receives the same single-shot prompt, and Google Gemini is used as a third-party judge for most tasks. The video shows the outputs side-by-side, with the creator offering subjective commentary on design quality, functionality, and adherence to prompts. The results are mixed: Opus 4.7 excels in design and interactive elements, while GPT-5.5 performs better on data analysis and dashboard clarity. The creator concludes with a final tally, declaring a winner based on overall performance.

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Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a practical, hands-on evaluation of two leading AI models, which is valuable for users deciding which model to use for specific tasks. The methodology is clear: identical prompts, single-shot generation, and a third-party judge (Gemini) for some tasks. The creator’s commentary is insightful, highlighting specific strengths and weaknesses, such as Opus 4.7’s superior design taste and interactive elements, and GPT-5.5’s better data handling and dashboard organization. However, the evaluation is subjective, relying on the creator’s personal preferences and visual inspection rather than quantitative metrics. The use of Gemini as a judge is inconsistent, as it sometimes fails to render outputs correctly, leading the creator to override its decisions. Overall, the argumentation is coherent and well-structured, but the lack of rigorous testing criteria limits its scientific value.

Scientific Rigor, Source Quality, Title Accuracy

The video is a practical demonstration rather than a scientific study, so it does not cite academic sources. The creator provides a PDF with all prompts and code, which is a useful resource for reproducibility. The title accurately reflects the content, and the video’s structure is clear with chapters. The creator does not engage with external literature or benchmarks, relying solely on his own testing. The quality of sources is limited to the creator’s own observations and the outputs of the models. The video’s strength lies in its practical, real-world tasks, which are more relevant than synthetic benchmarks. However, the lack of rigorous methodology and reliance on subjective judgment reduce its scientific rigor.

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Title / Content Match

The title accurately reflects the content: a head-to-head test of GPT-5.5 and Opus 4.7 on eight tasks, with a clear winner declared.

Quality & Reliability

6/10

The video is a hands-on comparative test of two AI models, with clear methodology (same prompts, single-shot, third-party judge). However, the evaluation is subjective and lacks rigorous quantitative metrics, and the judge (Gemini) is not consistently reliable.

Chapters

Cited Sources

Concurring Sources

  • Claude 4.7 (Anthropic) — Official page for Claude, which includes Opus 4.7, the model tested.
  • GPT-5.5 (OpenAI) — Official page for GPT-5, which may include GPT-5.5 details.

Contribution & Novelties

The video offers a practical, comparative analysis of two state-of-the-art AI models on real-world tasks, which is more actionable than benchmark scores. It highlights specific strengths and weaknesses in design, interactivity, and data handling, providing insights for developers and businesses. The inclusion of a third-party judge (Gemini) adds an objective layer, though its reliability is inconsistent.

Pour aller plus loin :

  • Claude 4.7 (Anthropic) — Official page for Claude, including Opus 4.7 details.
  • GPT-5.5 (OpenAI) — Official page for GPT-5.5, though specific version may not be listed.
  • Three.js — Library used for 3D rendering in the video, relevant to the 3D cell test.

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Radar Profile

The radar profile shows balanced scores across all dimensions, with a slight emphasis on technical level and information quantity. This indicates a video that is informative and technically detailed, but with moderate reliability due to subjective evaluation.

Reliability 6/10