Processing 2,500 lines of code (~28,000 tokens) with Together AI — DeepSeek V4 costs $0.014 for codebase ingestion and $0.0224 for an AI-powered code review and refactoring pass.
Quick answer
A 2,500 lines of code codebase is estimated at 28,000 tokens for Together AI — DeepSeek V4. Ingestion costs $0.014; a review and refactoring pass with roughly 20% output costs about $0.0224.
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 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.
Together AI — DeepSeek V4 writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Together AI — DeepSeek V4 (Current) | together | $0.014 | $0.0035 | $0.0224 | 1,000,000 |
| GPT-5.6 Terra | openai | $0.051 | $0.0051 | $0.1122 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.0638 | $0.006375 | $0.1403 | 256,000 |
| o3-mini | openai | $0.0281 | $0.014 | $0.0505 | 200,000 |
| o4-mini | openai | $0.0281 | $0.007013 | $0.0505 | 256,000 |
| o1-mini | openai | $0.0281 | $0.014 | $0.0505 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Together AI — DeepSeek V4 (deepseek_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 2,500 lines of code produces approximately 28,000 tokens.
Sending 2,500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.0224. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0119.
Together AI — DeepSeek V4 has a context window of 1,000,000 tokens. 2,500 lines of code consumes 2.80% of its total available context.