Processing 50 lines of code (~560 tokens) with Perplexity Sonar Deep Research costs $0.00112 for codebase ingestion and $0.002016 for an AI-powered code review and refactoring pass.
Feed 50 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 50 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Perplexity Sonar Deep Research writes 50 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Perplexity Sonar Deep Research (Current) | perplexity | $0.00112 | $0.00028 | $0.002016 | 128,000 |
| GPT-5.6 Sol | openai | $0.00255 | $0.000255 | $0.00561 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.006375 | $0.000638 | $0.014 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.00255 | $0.000255 | $0.00561 | 512,000 |
| GPT-5.5 Pro | openai | $0.0153 | $0.00153 | $0.0337 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0102 | $0.00102 | $0.0184 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in Perplexity Sonar Deep Research (tiktoken_cl100k tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 50 lines of code produces approximately 560 tokens.
Sending 50 lines of code as context and generating a thorough code review with recommendations costs approximately $0.002016. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.001176.
Perplexity Sonar Deep Research has a context window of 128,000 tokens. 50 lines of code consumes 0.44% of its total available context.