Processing 100 lines of code (~1,020 tokens) with o4-mini costs $0.001122 for codebase ingestion and $0.00202 for an AI-powered code review and refactoring pass.
Quick answer
A 100 lines of code codebase is estimated at 1,020 tokens for o4-mini. Ingestion costs $0.001122; a review and refactoring pass with roughly 20% output costs about $0.00202.
Method & trust
Code is estimated at a tokenizer-specific tokens-per-line ratio, then priced separately for repository context and generated review output. Comments, minified files, tests, and repeated context can materially change the bill.
Feed 100 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 100 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
o4-mini writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| o4-mini (Current) | openai | $0.001122 | $0.000281 | $0.00202 | 256,000 |
| GPT-5.6 Terra | openai | $0.00204 | $0.000204 | $0.004488 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.00255 | $0.000255 | $0.00561 | 256,000 |
| o3-mini | openai | $0.001122 | $0.000561 | $0.00202 | 200,000 |
| o1-mini | openai | $0.001122 | $0.000561 | $0.00202 | 128,000 |
| Claude Sonnet 5 | anthropic | $0.00224 | $0.000224 | $0.00448 | 1,000,000 |
On average, code yields approximately 10.2 tokens per line in o4-mini (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100 lines of code produces approximately 1,020 tokens.
Sending 100 lines of code as context and generating a thorough code review with recommendations costs approximately $0.00202. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.001178.
o4-mini has a context window of 256,000 tokens. 100 lines of code consumes 0.40% of its total available context.