Processing 2,500 lines of code (~25,500 tokens) with GPT-5.5 Standard costs $0.1275 for codebase ingestion and $0.2805 for an AI-powered code review and refactoring pass.
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.
GPT-5.5 Standard writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-5.5 Standard (Current) | openai | $0.1275 | $0.0128 | $0.2805 | 512,000 |
| 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 Pro | openai | $0.765 | $0.0765 | $1.683 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.51 | $0.051 | $0.918 | 1,000,000 |
| o3 (Reasoning Frontier) | openai | $0.255 | $0.0255 | $0.459 | 1,050,000 |
On average, code yields approximately 10.2 tokens per line in GPT-5.5 Standard (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 $0.2805. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.1658.
GPT-5.5 Standard has a context window of 512,000 tokens. 2,500 lines of code consumes 4.98% of its total available context.