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GPT-5, Claude Opus 4.7, Gemini 3, Llama 4 — they're not interchangeable. Picking right saves time, money, and frustration.
Different models are best at different things. GPT-5 leads on multimodal and tool use. Claude Opus 4.7 leads on long-context coding and writing. Gemini leads on giant context windows and Google integration. Open models (Llama, DeepSeek) lead on price and privacy. Knowing the rough strengths saves you from forcing the wrong tool.
Pick a real task you're working on. Run it on chatgpt.com, claude.ai, and gemini.google.com (all have free tiers). Note which gave the best answer, which was fastest, which was easiest. That's your default for that task type now.
15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-foundations-ai-which-model-when-r9a10-teen
Why might using the same AI model for every task be a mistake?
Which AI model is described as leading in multimodal capabilities and tool use?
What is the primary advantage of open models like Llama and DeepSeek?
You need to analyze a 70-page research document. Which model or models would be best suited for this task?
Which model combination is recommended for code generation across an entire repository?
What is the recommended approach when trying a completely new type of task?
Which model would give the best experience for quick voice conversations combined with image understanding?
For research that requires live web sources and current information, which tools are recommended?
What is Claude Opus 4.7 specifically highlighted as leading in?
What is a key difference between open models like Llama and commercial models?
Which website or platform would you use to try Claude according to the free tier options mentioned?
What does the lesson suggest about becoming a one-model person?
What type of task would make Gemini the best choice?
Why is model selection considered a tradeoff rather than a simple choice?
What is a benchmark in the context of AI models?