Processing 2,500 lines of code (~28,000 tokens) with MiniMax M3 (OpenRouter) costs $0.0084 for codebase ingestion and $0.0151 for an AI-powered code review and refactoring pass.
Feed 2,500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 2,500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
MiniMax M3 (OpenRouter) writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| MiniMax M3 (OpenRouter) (Current) | minimax | $0.0084 | $0.00168 | $0.0151 | 1,048,576 |
| GPT-5.6 Sol | openai | $0.1275 | $0.0128 | $0.2805 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.3188 | $0.0319 | $0.7012 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.1275 | $0.0128 | $0.2805 | 512,000 |
| GPT-5.5 Pro | openai | $0.765 | $0.0765 | $1.683 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.51 | $0.051 | $0.918 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in MiniMax M3 (OpenRouter) (other tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 2,500 lines of code produces approximately 28,000 tokens.
Sending 2,500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.0151. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0084.
MiniMax M3 (OpenRouter) has a context window of 1,048,576 tokens. 2,500 lines of code consumes 2.67% of its total available context.