Processing 500 lines of code (~5,100 tokens) with GPT-5.3 Codex costs $0.008925 for codebase ingestion and $0.0232 for an AI-powered code review and refactoring pass.
Feed 500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
GPT-5.3 Codex writes 500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $0.008925 | $0.000893 | $0.0232 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.000784 | $0.000078 | $0.001098 | 128,000 |
| Codestral 2501 | mistral | $0.00147 | $0.000147 | $0.002352 | 256,000 |
| Grok Build 0.1 | xai | $0.0056 | $0.00112 | $0.00784 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.00112 | $0.000112 | $0.001792 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $0.000448 | $0.000112 | $0.000717 | 128,000 |
On average, code yields approximately 10.2 tokens per line in GPT-5.3 Codex (o200k_base tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 500 lines of code produces approximately 5,100 tokens.
Sending 500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.0232. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0152.
GPT-5.3 Codex has a context window of 256,000 tokens. 500 lines of code consumes 1.99% of its total available context.