Processing 100 lines of code (~980 tokens) with Pixtral Large costs $0.00196 for codebase ingestion and $0.003136 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.
Pixtral Large writes 100 lines of code from scratch based on product specifications.
| Model | Provider | Code Ingestion | Cached Ingestion | Code Review Cost | Context Limit |
|---|---|---|---|---|---|
| Pixtral Large (Current) | mistral | $0.00196 | $0.000196 | $0.003136 | 128,000 |
| GPT-5.6 Sol | openai | $0.0051 | $0.00051 | $0.0112 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.0128 | $0.001275 | $0.0281 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.0051 | $0.00051 | $0.0112 | 512,000 |
| GPT-5.5 Pro | openai | $0.0306 | $0.00306 | $0.0673 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $0.0204 | $0.00204 | $0.0367 | 1,000,000 |
On average, code yields approximately 9.8 tokens per line in Pixtral Large (mistral_bpe tokenizer). Indentation, brackets, camelCase variable names, and comments slightly increase token density compared to plain English text. 100 lines of code produces approximately 980 tokens.
Sending 100 lines of code as context and generating a thorough code review with recommendations costs approximately $0.003136. Utilizing prompt caching on repeat turns or static repository definitions drops this to $0.001372.
Pixtral Large has a context window of 128,000 tokens. 100 lines of code consumes 0.77% of its total available context.