Processing 25,000 lines of code (~245,000 tokens) with Mistral Medium 3.5 costs $0.3675 for codebase ingestion and $0.735 for an AI-powered code review and refactoring pass.
Feed 25,000 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 25,000 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Mistral Medium 3.5 writes 25,000 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Mistral Medium 3.5 (Current) | mistral | $0.3675 | $0.0368 | $0.735 | 256,000 |
| GPT-5.6 Sol | openai | $1.275 | $0.1275 | $2.805 | 1,050,000 |
| GPT-5.6 Cyber | openai | $3.188 | $0.3188 | $7.012 | 1,050,000 |
| GPT-5.5 Standard | openai | $1.275 | $0.1275 | $2.805 | 512,000 |
| GPT-5.5 Pro | openai | $7.65 | $0.765 | $16.83 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $5.10 | $0.51 | $9.18 | 1,000,000 |
On average, code yields approximately 9.8 tokens per line in Mistral Medium 3.5 (mistral_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 25,000 lines of code produces approximately 245,000 tokens.
Sending 25,000 lines of code as context and generating a thorough code review with recommendations costs approximately $0.735. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.4043.
Mistral Medium 3.5 has a context window of 256,000 tokens. 25,000 lines of code consumes 95.70% of its total available context.