Processing 250 lines of code (~2,800 tokens) with DeepSeek V3 (Chat) costs $0.000392 for codebase ingestion and $0.000549 for an AI-powered code review and refactoring pass.
Quick answer
A 250 lines of code codebase is estimated at 2,800 tokens for DeepSeek V3 (Chat). Ingestion costs $0.000392; a review and refactoring pass with roughly 20% output costs about $0.000549.
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 250 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 250 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
DeepSeek V3 (Chat) writes 250 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 | $0.000392 | $0.000039 | $0.000549 | 64,000 |
| GPT-5.6 Luna | openai | $0.00051 | $0.000051 | $0.001122 | 1,050,000 |
| GPT-5.4 mini | openai | $0.001913 | $0.000191 | $0.004208 | 256,000 |
| GPT-5.4 nano | openai | $0.00051 | $0.000051 | $0.001148 | 128,000 |
| GPT-4o mini | openai | $0.000383 | $0.000191 | $0.000689 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0028 | $0.00028 | $0.0056 | 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. 250 lines of code produces approximately 2,800 tokens.
Sending 250 lines of code as context and generating a thorough code review with recommendations costs approximately $0.000549. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000196.
DeepSeek V3 (Chat) has a context window of 64,000 tokens. 250 lines of code consumes 4.38% of its total available context.