Processing 50,000 lines of code (~560,000 tokens) with Qwen3 Coder Next (OpenRouter) costs $0.0672 for codebase ingestion and $0.1568 for an AI-powered code review and refactoring pass.
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.
Qwen3 Coder Next (OpenRouter) writes 50,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Qwen3 Coder Next (OpenRouter) (Current) | qwen | $0.0672 | $0.0392 | $0.1568 | 262,144 |
| 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 |
| Qwen 2.5 Coder 32B | qwen | $0.112 | $0.0112 | $0.1792 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Qwen3 Coder Next (OpenRouter) (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 $0.1568. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.1288.
Qwen3 Coder Next (OpenRouter) has a context window of 262,144 tokens. 50,000 lines of code consumes 213.62% of its total available context.