In the arena of cutting-edge research agents, a fierce competition ensues between OpenAI and Google, vying for supremacy. The stage is set, with Gemini’s Deep Research agent drawing power from the formidable Gemini 2.0 Flash Thinking model, while ChatGPT’s Deep Research agent harnesses a fine-tuned o3 model. A fascinating twist unfolds here – Google graciously offers its agent for free, while OpenAI demands a fee of $20. The time has come to put both behemoths – Google and OpenAI – to the ultimate trial of the intellect, to discern how they fare in this clash of titans.
Task #1: Delving into China’s nascent dominion over the realm of AI
Venturing into uncharted territories, I tasked ChatGPT and Gemini’s Deep Research agents with unraveling the tapestry of China’s ascendancy in the AI domain. The quest demanded an analysis of leading AI entities in China, governmental policies, rivalry with US laboratories, and beyond.
In a span of minutes, the ChatGPT Deep Research agent weaved a tapestry of knowledge, drawing from 30 diverse sources to craft a voluminous 9,000-word opus. Meanwhile, Gemini’s Deep Research agent, in a swift yet efficient manner, unearthed insights from over 170 websites, culminating in a concise yet insightful 3,000-word narrative. As the scrolls of wisdom unfurled, it became evident that ChatGPT’s Deep Research agent stumbled in its stride, failing to shed light on China’s recent strides in AI. Its foundations rested on antiquated relics – a Stanford article and a Wikipedia page from yesteryears, leading to a dearth of current insights. Conversely, Gemini’s Deep Research agent exuded a fresh vigor, highlighting pioneering startups like DeepSeek and their trailblazing R1 model, set against a backdrop of cutting-edge advancements in video generation and robotics.
Task #2: Navigating the labyrinth of AI chips beyond Nvidia GPUs
The subsequent odyssey beckoned the Deep Research agents of ChatGPT and Gemini to unravel the enigma surrounding the future of specialized AI chips vis-a-vis Nvidia GPUs. Like intrepid explorers charting new frontiers, the agents scoured the digital landscape for clues. ChatGPT, drawing from a mosaic of 22 sources, crafted an elaborate tapestry replete with tables and citations, while Gemini, akin to a swift-footed messenger, traversed a myriad of web pages, culminating in a succinct revelation.
Both agents heralded the rise of TPUs, ASICs, FPGAs, and Nvidia’s CUDA moat, shedding light on emerging silicon luminaries like Groq, Cerebras, and SambaNova. Yet, amidst the labyrinth of knowledge, ChatGPT’s Deep Research agent stumbled, overlooking Google’s TPU v6e and Nvidia’s Blackwell B200 chronicles of the recent past. Despite its imperfections, the depth and breadth of ChatGPT’s narrative stood unparalleled, offering profound insights that nestled in the sands of time.
As the curtains of wisdom parted, a conundrum emerged – ChatGPT’s Deep Research agent, powered by an aged iteration of the o3 model, faced a dilemma of antiquity. While the internet served as a portal to current wisdom, the shadows of outdated knowledge lurked, veiling the truth in obscurity.
Task #3: A pilgrimage through the realm of Obesity Management in 2025
In the final leg of the expedition, the Deep Research agents of ChatGPT and Gemini embarked on a voyage to uncover the nuances of obesity management in 2025. Their quest unfurled a tapestry of insights, delving into the realms of innovative therapies and breakthroughs that defined the landscape.
Amidst these revelations, ChatGPT’s Deep Research agent shone as a beacon of knowledge, stitching together a narrative steeped in precision and clarity. Grounded in high-quality sources and medical journals, it unveiled a tapestry of therapies and policies that underpin obesity management across continents. On the flip side, Gemini’s Deep Research agent sparkled with a different hue of brilliance, encapsulating the latest medical interventions and forthcoming drug trials in an elegant tableau.
As the scrolls of wisdom unfolded, Gemini cast its gaze upon companies like Novo Nordisk and Eli Lilly, illuminating their endeavors in the pursuit of novel drugs for weight reduction. The tableau painted by Gemini bore the hallmark of contemporary insight, offering a glimpse into the evolving landscape of obesity management.
The denouement beckons – in the realm of Deep Research agents, Gemini emerges as a paragon of current knowledge, a beacon of truth in an era of digital obfuscation. Yet, the allure of ChatGPT’s Deep Research agent lingers, a testament to its depth and nuance, tempered by the shackles of an ancient-imbued model.
Should You Use ChatGPT Deep Research or Gemini Deep Research?
As the journey nears its end, a tantalizing question lingers in the ether – should one heed the call of Gemini’s Deep Research AI agent or embrace the allure of ChatGPT’s offering? In the dueling arena of intellect, Gemini stands tall, radiating a luminescence borne of current wisdom and timeless insight. While ChatGPT’s Deep Research agent weaves a tapestry rich in diversity and depth, its grasp on current knowledge wavers in the tides of time.
Amidst this conundrum, the scales tip in favor of Gemini’s Deep Research AI agent, a paragon of contemporary wisdom that beckons to the seekers of knowledge. A metamorphosis unveiled – powered by the ethereal brilliance of the Gemini 2.0 Flash Thinking model, it charts a course through the annals of innovation with an unwavering gaze.
Yet, in the tapestry of choices, a silver lining of discernment emerges – ChatGPT’s Deep Research agent allows for file uploads, a boon in the realm of STEM research where paywalled science journals hold the keys to hidden wisdom. Thus, the saga continues, with Gemini illuminating the path to enlightenment, while ChatGPT holds the key to a richer tapestry of insights.
In this epoch of digital enlightenment, the choice is yours – will you embrace the luminescent allure of Gemini or tread the path of nuanced wisdom with ChatGPT by your side? As the curtain falls, the answer rests in the whispers of the digital wind, guiding you to the nexus of knowledge and discovery.
