Processing 50,000 lines of code (~560,000 tokens) with MiniMax M2.7 (OpenRouter) costs $0.168 for codebase ingestion and $0.3024 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.
MiniMax M2.7 (OpenRouter) writes 50,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| MiniMax M2.7 (OpenRouter) (Current) | minimax | $0.168 | $0.0336 | $0.3024 | 204,800 |
| 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 MiniMax M2.7 (OpenRouter) (other 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 $0.3024. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.168.
MiniMax M2.7 (OpenRouter) has a context window of 204,800 tokens. 50,000 lines of code consumes 273.44% of its total available context.