Processing 2,500 lines of code (~28,000 tokens) with GLM-5V-Turbo (Z.ai) costs $0.0336 for codebase ingestion and $0.056 for an AI-powered code review and refactoring pass.
Feed 2,500 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 2,500 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
GLM-5V-Turbo (Z.ai) writes 2,500 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| GLM-5V-Turbo (Z.ai) (Current) | zai | $0.0336 | $0.00672 | $0.056 | 200,000 |
| GPT-5.3 Codex | openai | $0.0446 | $0.004462 | $0.116 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.00392 | $0.000392 | $0.005488 | 128,000 |
| Codestral 2501 | mistral | $0.00735 | $0.000735 | $0.0118 | 256,000 |
| Grok Build 0.1 | xai | $0.028 | $0.0056 | $0.0392 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.0056 | $0.00056 | $0.00896 | 128,000 |
On average, code yields approximately 11.2 tokens per line in GLM-5V-Turbo (Z.ai) (glm_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 2,500 lines of code produces approximately 28,000 tokens.
Sending 2,500 lines of code as context and generating a thorough code review with recommendations costs approximately $0.056. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.0291.
GLM-5V-Turbo (Z.ai) has a context window of 200,000 tokens. 2,500 lines of code consumes 14.00% of its total available context.