Translation Pipeline
Multilingual content at any scale
Translate content across 50+ languages while preserving brand voice, technical terminology, and cultural nuance — far beyond what generic machine translation delivers. Handles product strings, marketing copy, legal text, and documentation.
GPT-6 Luna
for 4M tokens a month · 70% input / 30% output
Why this model
For this workload — 4M tokens a month, 70% of them input — it comes to about $0.88 a month, the lowest of the models suggested here. Its 1M-token context window holds long inputs in a single call, which matters for this kind of work.
Alternative models
Implementation tips
- 1
Maintain a brand glossary per language — a JSON map of your product names, trademarked terms, and do-not-translate strings — and inject it into every translation call to enforce consistent terminology across your entire content library.
- 2
Use Gemini's long context to send an entire content section together rather than sentence-by-sentence: paragraph-level translation preserves flow and discourse coherence that isolated sentence translation destroys.
- 3
Implement a back-translation QA check on 5% of outputs: translate the translation back to the source language and flag cases where the round-trip diverges significantly — this catches catastrophic mistranslations without human fluency in the target language.