Processing 100 lines of code (~1,120 tokens) with Gemma 4 31B Instruct costs $0.00028 for codebase ingestion and $0.000448 for an AI-powered code review and refactoring pass.
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.
Gemma 4 31B Instruct writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Gemma 4 31B Instruct (Current) | $0.00028 | $0.000070 | $0.000448 | 128,000 | |
| GPT-5.6 Terra | openai | $0.00204 | $0.000204 | $0.004488 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.00255 | $0.000255 | $0.00561 | 256,000 |
| o3-mini | openai | $0.001122 | $0.000561 | $0.00202 | 200,000 |
| o4-mini | openai | $0.001122 | $0.000281 | $0.00202 | 256,000 |
| o1-mini | openai | $0.001122 | $0.000561 | $0.00202 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Gemma 4 31B Instruct (sentencepiece 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 $0.000448. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000238.
Gemma 4 31B Instruct has a context window of 128,000 tokens. 100 lines of code consumes 0.88% of its total available context.