Processing 100,000 lines of code (~1,120,000 tokens) with Fireworks AI — Llama 4 Scout costs $0.1344 for codebase ingestion and $0.215 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.
Fireworks AI — 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 |
|---|---|---|---|---|---|
| Fireworks AI — Llama 4 Scout (Current) | fireworks | $0.1344 | $0.0336 | $0.215 | 10,000,000 |
| 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 Fireworks AI — 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 $0.215. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.1142.
Fireworks AI — Llama 4 Scout has a context window of 10,000,000 tokens. 100,000 lines of code consumes 11.20% of its total available context.