Short Summary
Main recommendation: No single model wins everything; choose by task, with Claude for writing, Gemini for reasoning, coding, image generation, research, and long documents, and ChatGPT for the broadest feature set. The creator's bottom-line advice is to use two models and match each tool to the task. The video tested all three side by side across six rounds using identical prompts.
Key Points
- Writing: Claude produced the most natural, human-sounding output that matched the requested tone, while ChatGPT's writing felt flat and Gemini landed in the middle.
- Reasoning: Gemini scored 77.1% on a benchmark for solving problems it had never seen before, versus Claude's 68.8%, and in this test its analysis reached conclusions the other two missed.
- Coding: ChatGPT produced quick, working code for simple scripts but scores about 23% lower on multi-file, complex coding challenges; in this test Claude built a live Kanban board preview instead of raw code, and Gemini pulled ahead on larger codebases, making it more consistent for big projects.
- Images and research: Gemini's Nano Banana 2 produced more photorealistic images than ChatGPT's generator, and Gemini led on research because of Google ecosystem integration and NotebookLM, while Claude was strongest when working only from uploaded documents.
Details Worth Noting
- Concrete instructions: Write the same prompt into each model and compare outputs for your own use case; for writing, test Claude first, for analysis or large-scale research, test Gemini; for quick scripts, ChatGPT is fast; for image generation inside a chatbot, use Gemini, since Claude has none built in; for research on your own documents, upload them to Claude and instruct it to stay within those sources; use a second tool for images if you work in Claude.
- ChatGPT 5.4's steerable thinking plans show reasoning upfront and let you adjust direction mid-output.
- Claude's extended thinking mode improves depth but consumes tokens quickly, which matters on usage-capped plans.
- All three models now support a 1 million token context window (roughly 750 pages), but Gemini uniquely accepts video, audio, images, text, and YouTube links in the same conversation.
- Gemini 3.1 Pro now runs inside NotebookLM, improving analysis of curated source notebooks.
- The creator's comparisons are based on their own two-week testing, not independent benchmarks, except where specific benchmark figures (like the 77.1%/68.8% reasoning scores and the 23% coding gap) are explicitly cited.
Bottom Line
The best choice depends on the job: pay for the model that fits your main task, and if you do serious work across several areas, pairing two tools will likely beat relying on one.





