Cost Optimization
Reduce translation costs by optimizing batch size and model selection.
Batch Size Affects Cost
Larger batches = Fewer API requests = Lower cost
When you increase batch size:
- TOON format overhead (structure) is shared across more products
- Fewer API requests needed overall
- More token-efficient encoding
Example:
- Batch size 5: 100 products = 20 requests
- Batch size 10: 100 products = 10 requests
Fewer requests can mean slightly lower total token usage due to shared overhead.
Other Cost Strategies
Use gemini-flash for Simple Content
Switch to gemini-2.5-flash for ~5x cost reduction when translating simple products.
See Model Selection.
Translate Only Essential Columns
Skip attributes, SEO meta, or tags if not needed. Fewer columns = fewer tokens.
More Coming Soon
This section will be expanded with detailed cost analysis, ROI calculations, and advanced strategies in future updates.
Next Steps
- Batch Processing - Configure batch size
- Model Selection - Choose the right model