Processing 25,000 lines of code (~255,000 tokens) with o3-mini costs $0.2805 for codebase ingestion and $0.5049 for an AI-powered code review and refactoring pass.
Feed 25,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 25,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
o3-mini writes 25,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| o3-mini (Current) | openai | $0.2805 | $0.1403 | $0.5049 | 200,000 |
| GPT-5.6 Terra | openai | $0.51 | $0.051 | $1.122 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.6375 | $0.0638 | $1.402 | 256,000 |
| o4-mini | openai | $0.2805 | $0.0701 | $0.5049 | 256,000 |
| o1-mini | openai | $0.2805 | $0.1403 | $0.5049 | 128,000 |
| Claude Sonnet 5 | anthropic | $0.56 | $0.056 | $1.12 | 1,000,000 |
On average, code yields approximately 10.2 tokens per line in o3-mini (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 25,000 lines of code produces approximately 255,000 tokens.
Sending 25,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.5049. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.3647.
o3-mini has a context window of 200,000 tokens. 25,000 lines of code consumes 127.50% of its total available context.