GPT-4o by OpenAI

Last updated: March 9, 2026

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.

Where this model is recommended