Processing 1,000 lines of code (~11,200 tokens) with Cerebras — GPT OSS 120B costs $0.00392 for codebase ingestion and $0.0056 for an AI-powered code review and refactoring pass.
Feed 1,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 1,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Cerebras — GPT OSS 120B writes 1,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Cerebras — GPT OSS 120B (Current) | cerebras | $0.00392 | $0.00098 | $0.0056 | 128,000 |
| GPT-5.6 Terra | openai | $0.0204 | $0.00204 | $0.0449 | 1,050,000 |
| GPT-5.4 Workhorse | openai | $0.0255 | $0.00255 | $0.0561 | 256,000 |
| o3-mini | openai | $0.0112 | $0.00561 | $0.0202 | 200,000 |
| o4-mini | openai | $0.0112 | $0.002805 | $0.0202 | 256,000 |
| o1-mini | openai | $0.0112 | $0.00561 | $0.0202 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Cerebras — GPT OSS 120B (tiktoken_cl100k tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 1,000 lines of code produces approximately 11,200 tokens.
Sending 1,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.0056. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.00266.
Cerebras — GPT OSS 120B has a context window of 128,000 tokens. 1,000 lines of code consumes 8.75% of its total available context.