Processing 50,000 lines of code (~560,000 tokens) with Qwen 2.5 Coder 32B costs $0.112 for codebase ingestion and $0.1792 for an AI-powered code review and refactoring pass.
Quick answer
A 50,000 lines of code codebase is estimated at 560,000 tokens for Qwen 2.5 Coder 32B. Ingestion costs $0.112; a review and refactoring pass with roughly 20% output costs about $0.1792.
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 50,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 50,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Qwen 2.5 Coder 32B writes 50,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Qwen 2.5 Coder 32B (Current) | qwen | $0.112 | $0.0112 | $0.1792 | 128,000 |
| GPT-5.3 Codex | openai | $0.8925 | $0.0893 | $2.321 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.0784 | $0.00784 | $0.1098 | 128,000 |
| Codestral 2501 | mistral | $0.147 | $0.0147 | $0.2352 | 256,000 |
| Grok Build 0.1 | xai | $0.56 | $0.112 | $0.784 | 256,000 |
| GLM-5.3 (Z.ai) | zai | $0.784 | $0.1456 | $1.277 | 1,048,576 |
On average, code yields approximately 11.2 tokens per line in Qwen 2.5 Coder 32B (qwen_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 50,000 lines of code produces approximately 560,000 tokens.
Sending 50,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.1792. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0784.
Qwen 2.5 Coder 32B has a context window of 128,000 tokens. 50,000 lines of code consumes 437.50% of its total available context.