Use OpenAI: GPT-4o-mini (openai/gpt-4o-mini).
OpenAI: GPT-5 Mini is overkill here.
~5.6× cheaper per run.
Which AI model should you use to explain code to non technical users?
Why ->
This task is bounded and predictable, so a smaller model handles it without leaving quality on the table. Reaching for a larger tier here adds cost faster than it improves the output.
Cost breakdown
| Model | Provider | Tier | Input cost | Output cost | Est. / 1k calls |
|---|---|---|---|---|---|
| OpenAI: GPT-4o-mini openai/gpt-4o-mini | Openai | Routine | $0.000150 | $0.000600 | $0.23 |
| OpenAI: GPT-5 Mini openai/gpt-5-mini | Openai | Moderate | $0.000250 | $0.002000 | $1.25 |
Matched signals
- write
- rewrite
This recommendation is based on the task description alone. If you are attaching a large codebase, mention it in the input above.
Model pricing: OpenRouter model catalog, retrieved June 4, 2026. Classification: rightmodel ruleset v2. This recommendation cost zero tokens — a worked example of the Precomputed AI design pattern. View data provenance manifest.
Related tasks
Summarize a Pull Request
RoutineCondense a pull request into key changes, risks, and reviewer notes for fast handoff.
Use OpenAI: GPT-4o-mini.
Summarize Meeting Notes for Developers
RoutineTurn rough meeting notes into action items, decisions, and open questions for the team.
Use OpenAI: GPT-4o-mini.
Document Functions Across a Codebase
ModerateWrite clear function summaries and usage notes across a contained module or service.
Use OpenAI: GPT-5 Mini.
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