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
Where this model is recommended
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Use-cases
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