I'm a 22-year-old university student building an AI startup. The hardest part is losing student life

Student Founders in 2025: AI Startup Model Stack & Campus Engagement { "@context": "https://schema.org", "@type": "Article", "headline": "Student Founders in 2025: AI Startup Model Stack & Campus Engagement", "author": {"@type":"Person","name":"Senior Tech Journalist"}, "datePublished":"2025-11-01", "dateModified":"2025-12-01", "publisher":{"@type":"Organization","name":"YourTechJournal","logo":{"@type":"ImageObject","url":"https://yourtechjournal.com/logo.png"}}, "keywords":"Student Founders in 2025, AI startup model stack, Gemini 3 Pro, GPT‑4o, Claude 3.5, campus AI compliance" } table{width:100%;border-collapse:collapse;margin:1rem 0;} th,td{border:1px solid #ddd;padding:.75rem;text-align:left;} caption{font-weight:bold;margin-bottom:.5rem;} Student Founders in 2025: AI Startup Model Stack & Campus Engagement Student founders in 2025 face a landscape where the right blend of multimodal LLMs, cost‑effective orchestration, and compliance readiness can spell the difference between a campus prototype and a market‑ready product. The focus today is on how Gemini 3 Pro, GPT‑4o, and Claude 3.5 can be stacked to deliver high performance while keeping campus life vibrant. 1. The 2025 AI Model Ecosystem for Student Startups Three flagship LLMs dominate campus experimentation: Model comparison – token limits, multimodality, and primary use cases. Model Token Limit Multimodality Primary Use Case Gemini 3 Pro 1 M tokens Text, image, video, audio Bulk knowledge ingestion & document summarization GPT‑4o 128 k tokens Text + image (no native video/audio) Real‑time conversational UI & rapid prototyping Claude 3.5 200 k tokens Text, limited image support Regulated applications requiring auditability Benchmarking on the MathArena Apex 2025 suite shows Gemini 3 Pro achieving a median reasoning accuracy of 41.2%, GPT‑4o 28.7%, and Claude 3.5 32.1%. The gap translates into fewer user complaints for products that rely on deep knowledge reasoning. 2. Cost‑Effective AI Model Stack Design A