Processing 50 lines of code (~490 tokens) with Mistral Large 3 costs $0.000245 for codebase ingestion and $0.000392 for an AI-powered code review and refactoring pass.
Quick answer
A 50 lines of code codebase is estimated at 490 tokens for Mistral Large 3. Ingestion costs $0.000245; a review and refactoring pass with roughly 20% output costs about $0.000392.
Method & trust
Code is estimated at a tokenizer-specific tokens-per-line ratio, then priced separately for repository context and generated review output. Comments, minified files, tests, and repeated context can materially change the bill.
Feed 50 lines of code into the prompt context for repository search, Q&A, or architecture planning.
Ingest 50 lines of code and generate audit findings, unit test recommendations, and refactor diffs.
Mistral Large 3 writes 50 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Mistral Large 3 (Current) | mistral | $0.000245 | $0.000024 | $0.000392 | 1,000,000 |
| GPT-5.6 Sol | openai | $0.00255 | $0.000255 | $0.00561 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.006375 | $0.000638 | $0.014 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.00255 | $0.000255 | $0.00561 | 512,000 |
| GPT-5.5 Pro | openai | $0.0153 | $0.00153 | $0.0337 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0102 | $0.00102 | $0.0184 | 1,000,000 |
On average, code yields approximately 9.8 tokens per line in Mistral Large 3 (mistral_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 50 lines of code produces approximately 490 tokens.
Sending 50 lines of code as context and generating a thorough code review with recommendations costs approximately $0.000392. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.000172.
Mistral Large 3 has a context window of 1,000,000 tokens. 50 lines of code consumes 0.05% of its total available context.