Processing 500 lines of code (~5,600 tokens) with QwQ 32B (Reasoner) costs $0.00224 for codebase ingestion and $0.003584 for an AI-powered code review and refactoring pass.
Feed 500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
QwQ 32B (Reasoner) writes 500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| QwQ 32B (Reasoner) (Current) | qwen | $0.00224 | $0.000224 | $0.003584 | 128,000 |
| GPT-5.6 Terra | openai | $0.0102 | $0.00102 | $0.0224 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.0128 | $0.001275 | $0.0281 | 256,000 |
| o3-mini | openai | $0.00561 | $0.002805 | $0.0101 | 200,000 |
| o4-mini | openai | $0.00561 | $0.001403 | $0.0101 | 256,000 |
| o1-mini | openai | $0.00561 | $0.002805 | $0.0101 | 128,000 |
On average, code yields approximately 11.2 tokens per line in QwQ 32B (Reasoner) (qwen_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 500 lines of code produces approximately 5,600 tokens.
Sending 500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.003584. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.001568.
QwQ 32B (Reasoner) has a context window of 128,000 tokens. 500 lines of code consumes 4.38% of its total available context.