Processing 50,000 lines of code (~510,000 tokens) with GPT-5.4 mini costs $0.3825 for codebase ingestion and $0.8415 for an AI-powered code review and refactoring pass.
Feed 50,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 50,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
GPT-5.4 mini writes 50,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-5.4 mini (Current) | openai | $0.3825 | $0.0383 | $0.8415 | 256,000 |
| GPT-5.6 Luna | openai | $0.102 | $0.0102 | $0.2244 | 1,050,000 |
| GPT-5.4 nano | openai | $0.102 | $0.0102 | $0.2295 | 128,000 |
| GPT-4o mini | openai | $0.0765 | $0.0383 | $0.1377 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.56 | $0.056 | $1.12 | 1,000,000 |
| Claude 3.5 Haiku | anthropic | $0.448 | $0.0448 | $0.896 | 200,000 |
On average, code yields approximately 10.2 tokens per line in GPT-5.4 mini (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 50,000 lines of code produces approximately 510,000 tokens.
Sending 50,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.8415. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.4972.
GPT-5.4 mini has a context window of 256,000 tokens. 50,000 lines of code consumes 199.22% of its total available context.