We constantly explore new Large Language Models (LLM) and Neural Machine Translation (NMT) models and add them to our list in case of successful testing results. Here is our current list of models.

LLMs: Claude (Anthropic), ChatGPT (OpenAI or Microsoft Azure), Gemini (Google), Grok (xAI), Mistral, and other open-source LLMs.

NMTs: DeepL, Amazon Translate, Google AutoML, and others.

Yes, in our experience, LLM models tend to outperform NMTs. Still, only tests can show which models will yield the best results for your unique combination of niche and language pairs. We covered the topic of choosing the right model in this article.

During the testing process, our linguists post-edit the best machine-translated version. This edited version becomes a reference translation. This reference translation is a sample of the level of quality you can expect.

We use industry metrics like nTER, ChrF++, BERTScore, COMET, etc., and our own AQI, which is a comprehensive metric that synthesizes various automated and human evaluation methods to deliver an overall assessment of translation quality.

Our rates for MTPE start from $8.30 per 1000 characters for one language. The final price depends on the language pair and the quality of the raw MT output. Better output quality means lower rates as it requires less post-editing effort.  Once we've done the tests and identified the best-performing models, you'll get a quote with our final rates.

We select models for your project based on your needs. For the most secure and sensitive use cases, we can deploy an LLM model on a private infrastructure.

All translations at Alconost are performed by professional translators who are native speakers.

We have over 1100 professional native-speaking translators on our team who specialize in a broad range of fields. We always try to assign a dedicated team of translators to your project and work specifically with these translators on a continuous basis.

Our first choice is the cloud-based translation platform Crowdin. We also work on other localization platforms, such as GitLocalize, Tolgee, Phrase, Lokalise, memoQ, Smartcat, WebTranslateIt, Transifex, OneSky, POEditor, Trados, and many more.

We can work with any file type, including:

Android .xml, iOS .strings, .stringsdict, Windows .resx, .po, .pot, .php, .json, .ini, .csv, .js, .plist, .xlf, .xliff, .stf, .dita, .ditamap, .toml, .gotext.json, .arb, .vdf, .wxl, .nsh, .properties, .dtd, .ts, .rc, .resw, .resjson, .yml, .htm, .html, .xhtml, .haml, .txt, .md, .xht, .idml, .docx, .svg, .pdf, .xaml, .srt, .vtt, .sbv, .mif, .idml, .rtf, .ppt, .odt, .ods, .odg, .odp, .wiki, .flsnp, .flpgl, .fltoc, .md, .xht.

We also work with other file formats and proprietary systems.

We translate into more than 120 languages, including the most popular ones (English, Chinese, Japanese, German, French, Spanish), as well as rarer ones and even dialects within a language, such as Spanish for Spain versus Spanish for Latin America. If the language pair you need is not on our list, our resource managers can find and test translators with this language pair for your project.

Sure, we can set up integrations for you. In addition to that, our localization engineers can develop custom integrations for niche platforms and specific needs.