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Model profile

GPT-4o 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

Model details

Strengths, weaknesses, and pricing notes

Strengths

  • Fast responses
  • Strong multimodal support
  • Good quality-speed balance

Best-fit scenarios: Balanced speed/quality use-cases including support, drafting, and rapid iteration loops.

Benchmark advice: Monitor response latency alongside acceptance rate and edit distance.

Weaknesses

  • Output depth can vary by prompt
  • May require structured prompting for stability

Watch-out: Constrain output format for critical workflows to reduce ambiguity.

Pricing notes

Often used where balanced speed and quality are required.

Recommendations

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Use-cases

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