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Model profile

GPT-5 by OpenAI

Use this page to review the model’s tradeoffs, then jump into the workflow comparisons where it actually gets recommended.

Last updated: March 9, 2026

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Model details

Strengths, weaknesses, and pricing notes

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.

Recommendations

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