Processing 25,000 lines of code (~280,000 tokens) with Perplexity Sonar costs $0.28 for codebase ingestion and $0.336 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.
Perplexity Sonar writes 25,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Perplexity Sonar (Current) | perplexity | $0.28 | $0.07 | $0.336 | 128,000 |
| GPT-5.6 Luna | openai | $0.051 | $0.0051 | $0.1122 | 1,050,000 |
| GPT-5.4 mini | openai | $0.1913 | $0.0191 | $0.4207 | 256,000 |
| GPT-5.4 nano | openai | $0.051 | $0.0051 | $0.1148 | 128,000 |
| GPT-4o mini | openai | $0.0383 | $0.0191 | $0.0689 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.28 | $0.028 | $0.56 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in Perplexity Sonar (tiktoken_cl100k 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 $0.336. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.126.
Perplexity Sonar has a context window of 128,000 tokens. 25,000 lines of code consumes 218.75% of its total available context.