Use case · Translation
Cheapest translation LLMs
The cheapest LLMs with strong multilingual benchmarks. Ranked by price per 1M input tokens.
Models0
Cheapest$-
ScopeMGSM · Flores · XQuAD
What this page is
This page ranks models with credible multilingual benchmarks or broad declared language support, cheapest first. Keep in mind that LLM translation shines at style, terminology, and context · not at raw per-word cost. For pure high-volume MT, classical engines (Google Translate, DeepL) remain cheaper. For localization with house style, LLMs win.
Ranked by input price
Multilingual LLMs, cheapest first.
| # | Model | In $/1M | Out $/1M | Type | |||
|---|---|---|---|---|---|---|---|
| No matching models. | |||||||
Frequently asked questions
Per-word, Google Translate and DeepL are hard to beat. But LLMs offer context, style control, terminology consistency, and batch processing that a classic MT engine does not. For professional localization, LLMs often win on total cost of quality.