Processing 25,000 lines of code (~280,000 tokens) with DeepSeek R1 (Reasoner) costs $0.154 for codebase ingestion and $0.2766 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.
DeepSeek R1 (Reasoner) writes 25,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| DeepSeek R1 (Reasoner) (Current) | deepseek | $0.154 | $0.0392 | $0.2766 | 64,000 |
| 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 |
| o3-mini | openai | $0.2805 | $0.1403 | $0.5049 | 200,000 |
| o4-mini | openai | $0.2805 | $0.0701 | $0.5049 | 256,000 |
| o1-mini | openai | $0.2805 | $0.1403 | $0.5049 | 128,000 |
On average, code yields approximately 11.2 tokens per line in DeepSeek R1 (Reasoner) (deepseek_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 25,000 lines of code produces approximately 280,000 tokens.
Sending 25,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.2766. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.1618.
DeepSeek R1 (Reasoner) has a context window of 64,000 tokens. 25,000 lines of code consumes 437.50% of its total available context.