Processing 100 lines of code (~1,120 tokens) with Cohere Command R costs $0.000168 for codebase ingestion and $0.000302 for an AI-powered code review and refactoring pass.
Quick answer
A 100 lines of code codebase is estimated at 1,120 tokens for Cohere Command R. Ingestion costs $0.000168; a review and refactoring pass with roughly 20% output costs about $0.000302.
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 100 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 100 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Cohere Command R writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Cohere Command R (Current) | cohere | $0.000168 | $0.000042 | $0.000302 | 128,000 |
| GPT-5.6 Luna | openai | $0.000204 | $0.000020 | $0.000449 | 1,050,000 |
| GPT-5.4 mini | openai | $0.000765 | $0.000077 | $0.001683 | 256,000 |
| GPT-5.4 nano | openai | $0.000204 | $0.000020 | $0.000459 | 128,000 |
| GPT-4o mini | openai | $0.000153 | $0.000077 | $0.000275 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.00112 | $0.000112 | $0.00224 | 1,000,000 |
On average, code yields approximately 11.2 tokens per line in Cohere Command R (cohere_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100 lines of code produces approximately 1,120 tokens.
Sending 100 lines of code as context and generating a thorough code review with recommendations costs approximately $0.000302. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000176.
Cohere Command R has a context window of 128,000 tokens. 100 lines of code consumes 0.88% of its total available context.