Claude Opus 4.6 vs GPT-5.4: Which AI Writes Better Code?

Quick Verdict

Claude Opus 4.6 writes better code. Its SWE-bench Verified score of 80.8% beats GPT-5.4's 74.9%, and Sonnet 4.6 leads the coding arena Elo at 1051. GPT-5.4 has better tooling with native computer use and Tool Search (47% token reduction), so it's more efficient for interactive coding sessions. For raw code quality, Claude wins. For the coding workflow as a whole, it's closer than the benchmarks suggest.

Coding Benchmarks

Benchmark	Claude Opus 4.6	GPT-5.4
SWE-bench Verified	80.8%	74.9%
SWE-bench Pro	N/A	57.7%
Terminal-Bench	65.4% (2.0)	75.1%
Coding Arena Elo (Sonnet)	1051	N/A
OSWorld	72.7%	75.0%

Real-World Coding Tests

I ran five different coding tasks through both models. Here's what happened.

Task 1: React dashboard with charts. Claude produced a complete component with TypeScript, proper error boundaries, and responsive design. GPT-5.4 produced working code but skipped the error boundaries and used any types in three places.

Task 2: Python ETL pipeline. Both produced working code. Claude handled edge cases for malformed data better. GPT-5.4 was faster to generate.

Task 3: SQL query optimization. Claude rewrote a slow query with proper indexing hints and explained the performance impact. GPT-5.4 optimized the query but didn't explain why.

Task 4: Debugging a race condition. Claude identified the issue immediately and suggested three different fixes with trade-offs. GPT-5.4 found the bug but only offered one fix.

Task 5: Multi-file refactoring. This is where Claude Opus 4.6 really shines. Its Agent Teams feature can spawn sub-agents to work across multiple files simultaneously. GPT-5.4 handled files one at a time. For a large refactoring job, Claude saved significant time.

Developer Experience

GPT-5.4 has Tool Search, which reduces token usage by 47% during complex coding sessions. That means longer conversations before hitting context limits. It also has native computer use, so it can interact with your terminal, browser, and IDE directly. Claude's adaptive thinking with four effort levels lets you control how deeply it reasons about a problem. For quick utility functions, set it to low effort. For architecture decisions, crank it up. Both approaches have merit.

Budget Models for Coding

Model	Coding %	API Price (in/out)
GPT-5.4 mini	60%	$0.25/$2
Gemini 3 Flash	47.6%	$0.50/$3
Claude Haiku 4.5	41%	$1/$5

For budget coding tasks, GPT-5.4 mini is the best value. It hits 60% coding accuracy at $0.25/$2 per million tokens. Claude Haiku 4.5 is the most expensive budget option and scores lowest on coding. Interesting reversal from the premium models.

Pricing for Developers

Claude Opus 4.6 API: $5/$25 per million tokens. GPT-5.4 API: $2.50/$15. For the same budget, you get twice as many GPT-5.4 API calls. Claude's higher code quality might justify the premium for production code, but for prototyping and exploration, GPT-5.4's pricing is hard to beat. Sonnet 4.6 at $3/$15 is a solid middle ground. With Admix, you can access all of these models from a single subscription starting at $10/month (or $8/month billed annually), which makes it easy to use Claude for production code and GPT-5.4 for everything else.

Which Should Developers Choose?

Use Claude Opus 4.6 for: production code, multi-file refactoring, complex debugging, and code review. Use GPT-5.4 for: prototyping, scripting, interactive coding with computer use, and when API cost matters. Use Sonnet 4.6 as a daily driver (it leads the coding Elo at 1051). Use Admix to switch between them without managing multiple subscriptions.

FAQ

Is Claude really better at coding than GPT-5.4?

Yes, on code quality benchmarks. Claude Opus 4.6 scores 80.8% on SWE-bench Verified vs GPT-5.4's 74.9%. Sonnet 4.6 leads the coding arena Elo. GPT-5.4 wins on Terminal-Bench (75.1% vs 65.4%), which measures terminal/CLI tasks specifically.

Which is better for beginners learning to code?

Claude tends to explain code more thoroughly and catches more bugs. GPT-5.4 is faster and more forgiving of vague prompts. Both work well for learning.

Can I use both models for coding?

Yes. Admix gives you access to both plus 350+ AI models. Plans start at $10/month (or $8/month billed annually).