Processing 100,000 lines of code (~1,120,000 tokens) with Groq LPU — Llama 4 Scout costs $0.1232 for codebase ingestion and $0.1994 for an AI-powered code review and refactoring pass.
Feed 100,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 100,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Groq LPU — Llama 4 Scout writes 100,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Groq LPU — Llama 4 Scout (Current) | groq | $0.1232 | $0.0616 | $0.1994 | 512,000 |
| GPT-5.6 Terra | openai | $2.04 | $0.204 | $4.488 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $2.55 | $0.255 | $5.61 | 256,000 |
| o3-mini | openai | $1.122 | $0.561 | $2.02 | 200,000 |
| o4-mini | openai | $1.122 | $0.2805 | $2.02 | 256,000 |
| o1-mini | openai | $1.122 | $0.561 | $2.02 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Groq LPU — Llama 4 Scout (tiktoken_cl100k tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100,000 lines of code produces approximately 1,120,000 tokens.
Sending 100,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.1994. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.1378.
Groq LPU — Llama 4 Scout has a context window of 512,000 tokens. 100,000 lines of code consumes 218.75% of its total available context.