Processing 50 lines of code (~510 tokens) with GPT-5.6 Terra costs $0.00102 for codebase ingestion and $0.002244 for an AI-powered code review and refactoring pass.
Quick answer
A 50 lines of code codebase is estimated at 510 tokens for GPT-5.6 Terra. Ingestion costs $0.00102; a review and refactoring pass with roughly 20% output costs about $0.002244.
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 50 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 50 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
GPT-5.6 Terra writes 50 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-5.6 Terra (Current) | openai | $0.00102 | $0.000102 | $0.002244 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.001275 | $0.000128 | $0.002805 | 256,000 |
| o3-mini | openai | $0.000561 | $0.000281 | $0.00101 | 200,000 |
| o4-mini | openai | $0.000561 | $0.00014 | $0.00101 | 256,000 |
| o1-mini | openai | $0.000561 | $0.000281 | $0.00101 | 128,000 |
| Claude Sonnet 5 | anthropic | $0.00112 | $0.000112 | $0.00224 | 1,000,000 |
On average, code yields approximately 10.2 tokens per line in GPT-5.6 Terra (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 50 lines of code produces approximately 510 tokens.
Sending 50 lines of code as context and generating a thorough code review with recommendations costs approximately $0.002244. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.001326.
GPT-5.6 Terra has a context window of 1,050,000 tokens. 50 lines of code consumes 0.05% of its total available context.