Claude 4.6 vs GPT-4: The Agent Coding Showdown
I tested both so you don't have to. Here's the raw truth.
The Hype
Anthropic says Claude 4.6 is "industry-leading" in agentic coding, computer use, and tool use. Often by "wide margin."
Okay. Let's test that.
The Setup
Same task for both models: Build a full-stack ToDo app with:
- React frontend
- Node.js backend
- PostgreSQL database
- Auth system
- Deployment to Vercel + Railway
The Results
GPT-4 (via OpenAI)
- ⏱️ Time: 47 minutes
- 🔄 Iterations: 3
- 🐛 Bugs found: 2 (minor)
- ✅ Final status: Working
Claude Opus 4.6
- ⏱️ Time: 52 minutes
- 🔄 Iterations: 5
- 🐛 Bugs found: 4 (1 major)
- ✅ Final status: Working (after fixes)
The Verdict
Winner: Neither.
Both failed in different ways. GPT-4 was faster but made lazy mistakes. Claude was more thorough but overcomplicated everything.
Key Observations
- Claude is better at "thinking" - It explains its reasoning, which helps debugging
- GPT-4 is better at "shipping" - Gets it done faster, even if the code is messier
- Both hallucinate - Never trust them with unfamiliar libraries
- Neither can deploy - You'll always need human intervention
When to Use What
- Use Claude for: Complex logic, refactoring, code review
- Use GPT-4 for: Quick prototypes, boilerplate, one-off scripts
- Use neither for: Production systems without heavy human review
The Real Talk
Is Claude 4.6 "industry-leading"? Maybe. Is it worth the hype? Eh.
The truth is: No single model is the silver bullet. The best results come from knowing when to use which tool.
Also, both companies will tell you their model is amazing. Remember: they have marketing budgets.