AI

GPT-5 vs Claude Opus 4.1: which is Better for Programming?

By Lucas
August 8, 2025
2 min min read
GPT-5 vs Claude Opus 4.1: which is Better for Programming?

GPT-5 vs Claude Opus 4.1: which is Better for Programming?

In recent days, two artificial intelligence giants have released updates that promise to revolutionize developers’ lives: OpenAI’s GPT-5 and Anthropic’s Claude Opus 4.1. But which one delivers better results when it comes to programming? Let’s compare data, benchmarks, and features to help you decide.

Overview

GPT-5

  • Launched on August 8, 2025, with a reinforced focus on reasoning and coding.
  • In the SWE-bench Verified benchmark, it achieved 74.9% accuracy, surpassing Opus 4.1.
  • Hallucination rate dropped to just 4.8% (compared to over 20% in previous versions).
  • Features dynamic routing, adjusting reasoning complexity according to the task.

Claude Opus 4.1

  • Launched between August 5 and 8, 2025, with improvements in coding, reasoning, and complex agents.
  • In SWE-bench Verified, it achieved 74.5% accuracy.
  • Supports 200K tokens of context, ideal for long programming sessions.
  • Stable performance in projects requiring many hours of continuous execution.

Comparison Table

FeatureGPT-5Claude Opus 4.1
Release DateAugust 8, 2025August 5-8, 2025
SWE-bench Verified Benchmark74,9 %74,5 %
Hallucination Rate~4.8%Not disclosed
Dynamic ReasoningYesYes
Stability in Long SessionsExcellent
Maximum ContextNot specified~200K tokens
Technical HighlightFewer hallucinations; sharp coding performanceStamina, extensive context, robust reasoning

Conclusion — which is Better for Programming?

If your focus is on solving coding tasks with high precision and minimal errors, GPT-5 has an advantage with its 74.9% on SWE-bench and reduced hallucination rate. For those who need to handle complex and long-duration projects, Claude Opus 4.1 shines thanks to its impressive context window and prolonged stability.

In summary: GPT-5 is the choice for quick and precise tasks, while Claude Opus 4.1 is ideal for coding marathons.

Related Articles