GPT-5 by OpenAI

Last updated: March 9, 2026

Strengths

Strong coding and refactoring quality
Good multi-file reasoning
Useful for architecture decisions

Best-fit scenarios: High-impact engineering and analysis workflows where quality beats raw throughput.

Benchmark advice: Track correctness, retry rate, and reviewer-edit time on production tasks.

Weaknesses

Can be expensive at scale
May over-engineer simple tasks

Watch-out: Control cost by routing low-value tasks to cheaper fallback models.

Pricing notes

Premium model pricing; best for high-value engineering tasks.

Where this model is recommended