Processing 1,000 lines of code (~10,200 tokens) with o1-mini costs $0.0112 for codebase ingestion and $0.0202 for an AI-powered code review and refactoring pass.
Feed 1,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 1,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
o1-mini writes 1,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| o1-mini (Current) | openai | $0.0112 | $0.00561 | $0.0202 | 128,000 |
| GPT-5.6 Terra | openai | $0.0204 | $0.00204 | $0.0449 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.0255 | $0.00255 | $0.0561 | 256,000 |
| o3-mini | openai | $0.0112 | $0.00561 | $0.0202 | 200,000 |
| o4-mini | openai | $0.0112 | $0.002805 | $0.0202 | 256,000 |
| Claude Sonnet 5 | anthropic | $0.0224 | $0.00224 | $0.0448 | 1,000,000 |
On average, code yields approximately 10.2 tokens per line in o1-mini (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 1,000 lines of code produces approximately 10,200 tokens.
Sending 1,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.0202. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0146.
o1-mini has a context window of 128,000 tokens. 1,000 lines of code consumes 7.97% of its total available context.