Processing 100 lines of code (~1,120 tokens) with DeepSeek Coder V2.5 costs $0.000157 for codebase ingestion and $0.00022 for an AI-powered code review and refactoring pass.
Feed 100 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 100 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
DeepSeek Coder V2.5 writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| DeepSeek Coder V2.5 (Current) | deepseek | $0.000157 | $0.000016 | $0.00022 | 128,000 |
| GPT-5.3 Codex | openai | $0.001785 | $0.000179 | $0.004641 | 256,000 |
| Codestral 2501 | mistral | $0.000294 | $0.000029 | $0.00047 | 256,000 |
| Grok Build 0.1 | xai | $0.00112 | $0.000224 | $0.001568 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.000224 | $0.000022 | $0.000358 | 128,000 |
| DeepInfra — Qwen 2.5 Coder 32B | deepinfra | $0.000090 | $0.000022 | $0.000143 | 128,000 |
On average, code yields approximately 11.2 tokens per line in DeepSeek Coder V2.5 (deepseek_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100 lines of code produces approximately 1,120 tokens.
Sending 100 lines of code as context and generating a thorough code review with recommendations costs approximately $0.00022. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000078.
DeepSeek Coder V2.5 has a context window of 128,000 tokens. 100 lines of code consumes 0.88% of its total available context.