Processing 2,500 lines of code (~25,500 tokens) with o1 (Reasoning) costs $0.3825 for codebase ingestion and $0.6885 for an AI-powered code review and refactoring pass.
Quick answer
A 2,500 lines of code codebase is estimated at 25,500 tokens for o1 (Reasoning). Ingestion costs $0.3825; a review and refactoring pass with roughly 20% output costs about $0.6885.
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 2,500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 2,500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
o1 (Reasoning) writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| o1 (Reasoning) (Current) | openai | $0.3825 | $0.1912 | $0.6885 | 200,000 |
| GPT-5.6 Sol | openai | $0.1275 | $0.0128 | $0.2805 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.3188 | $0.0319 | $0.7012 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.1275 | $0.0128 | $0.2805 | 512,000 |
| GPT-5.5 Pro | openai | $0.765 | $0.0765 | $1.683 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.51 | $0.051 | $0.918 | 1,000,000 |
On average, code yields approximately 10.2 tokens per line in o1 (Reasoning) (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 2,500 lines of code produces approximately 25,500 tokens.
Sending 2,500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.6885. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.4973.
o1 (Reasoning) has a context window of 200,000 tokens. 2,500 lines of code consumes 12.75% of its total available context.