Benchmarking ChatGPT, Qwen, and DeepSeek on Real-World AI Tasks
Last Updated on February 10, 2025 by Editorial Team
Author(s): HarshVardhan jain
Originally published on Towards AI.

This member-only story is on us. Upgrade to access all of Medium.
The wealthy tech giants in the U.S. once dominated the AI market but DeepSeek’s release caused waves in the industry, sparking massive hype. However, as if that wasn’t enough, Qwen 2.5 emerged — surpassing DeepSeek in multiple areas. Like other reasoning models such as DeepSeek-R1 and OpenAI’s O1, Qwen 2.5-Max operates in a way that conceals its thinking process, making it harder to trace its decision-making logic
This article puts ChatGPT, Qwen, and DeepSeek through their paces with a series of key challenges ranging from solving calculus problems to debugging code. Whether you’re a developer hunting for the perfect AI coding assistant, a researcher tackling quantum mechanics, or a business professional, today I will try to reveal which model is the smartest choice for your needs (and budget)
ChatGPT, developed by OpenAI still remains a dominant force in the AI space, built on the powerful GPT-5 architecture and fine-tuned using Reinforcement Learning from Human Feedback (RLHF). It’s a reliable go-to for a range of tasks, from creative writing to technical documentation, making it a top choice for content creators, educators, and startups However, it’s not perfect…. Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.