Processing 250 lines of code (~2,800 tokens) with Qwen 2.5 Coder 32B costs $0.00056 for codebase ingestion and $0.000896 for an AI-powered code review and refactoring pass.
Feed 250 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 250 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Qwen 2.5 Coder 32B writes 250 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Qwen 2.5 Coder 32B (Current) | qwen | $0.00056 | $0.000056 | $0.000896 | 128,000 |
| GPT-5.3 Codex | openai | $0.004463 | $0.000446 | $0.0116 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.000392 | $0.000039 | $0.000549 | 128,000 |
| Codestral 2501 | mistral | $0.000735 | $0.000073 | $0.001176 | 256,000 |
| Grok Build 0.1 | xai | $0.0028 | $0.00056 | $0.00392 | 256,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $0.000224 | $0.000056 | $0.000358 | 128,000 |
On average, code yields approximately 11.2 tokens per line in Qwen 2.5 Coder 32B (qwen_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 250 lines of code produces approximately 2,800 tokens.
Sending 250 lines of code as context and generating a thorough code review with recommendations costs approximately $0.000896. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000392.
Qwen 2.5 Coder 32B has a context window of 128,000 tokens. 250 lines of code consumes 2.19% of its total available context.