Processing 500 lines of code (~5,600 tokens) with DeepSeek V3 (Chat) costs $0.000784 for codebase ingestion and $0.001098 for an AI-powered code review and refactoring pass.
Feed 500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
DeepSeek V3 (Chat) writes 500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| DeepSeek V3 (Chat) (Current) | deepseek | $0.000784 | $0.000078 | $0.001098 | 64,000 |
| GPT-5.6 Luna | openai | $0.00102 | $0.000102 | $0.002244 | 1,050,000 |
| GPT-5.4 mini | openai | $0.003825 | $0.000383 | $0.008415 | 256,000 |
| GPT-5.4 nano | openai | $0.00102 | $0.000102 | $0.002295 | 128,000 |
| GPT-4o mini | openai | $0.000765 | $0.000383 | $0.001377 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0056 | $0.00056 | $0.0112 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in DeepSeek V3 (Chat) (deepseek_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 500 lines of code produces approximately 5,600 tokens.
Sending 500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.001098. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000392.
DeepSeek V3 (Chat) has a context window of 64,000 tokens. 500 lines of code consumes 8.75% of its total available context.