Processing 100 lines of code (~1,120 tokens) with Perplexity Sonar Reasoning Pro costs $0.00224 for codebase ingestion and $0.004032 for an AI-powered code review and refactoring pass.
Feed 100 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 100 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Perplexity Sonar Reasoning Pro writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Perplexity Sonar Reasoning Pro (Current) | perplexity | $0.00224 | $0.00056 | $0.004032 | 127,072 |
| GPT-5.6 Sol | openai | $0.0051 | $0.00051 | $0.0112 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.0128 | $0.001275 | $0.0281 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.0051 | $0.00051 | $0.0112 | 512,000 |
| GPT-5.5 Pro | openai | $0.0306 | $0.00306 | $0.0673 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0204 | $0.00204 | $0.0367 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in Perplexity Sonar Reasoning Pro (tiktoken_cl100k tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100 lines of code produces approximately 1,120 tokens.
Sending 100 lines of code as context and generating a thorough code review with recommendations costs approximately $0.004032. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.002352.
Perplexity Sonar Reasoning Pro has a context window of 127,072 tokens. 100 lines of code consumes 0.88% of its total available context.