multilingual AI

5 articles tagged with multilingual AI

September 16, 2026
product update

Mistral AI Models Now Power Mozilla's Firefox Smart Window Browsing Assistant

Mistral AI will power Mozilla's Firefox Smart Window (beta), a browsing assistant that summarizes searches and tracks tabs. The rollout starts in France and North America, with the UK and Germany to follow later this year.

September 1, 2026
model release

Meta Launches Muse Voice Transcribe, Real-Time Speech Model Handling 20+ Speakers Across 70+ Languages

Meta Superintelligence Lab released Muse Voice Transcribe, its first real-time audio perception model, claiming state-of-the-art streaming speech-to-text with native speaker diarization. The model handles 20+ speakers and code-switching across languages, priced at $3 per 1,000 audio minutes.

August 20, 2026
model releaseTencent

Tencent Releases Hy-MT2-30B-A3B, a 30B-Parameter Translation Model with 3B Active Parameters

Tencent has released Hy-MT2-30B-A3B, a mixture-of-experts translation model with 30B total parameters and 3B active parameters, supporting 33 language pairs and five Chinese dialect and minority-language pairs. The model is available through Tencent Cloud at $0.074 per 1M input tokens and $0.295 per 1M output tokens.

August 4, 2026
model release

LG AI Research Releases K-EXAONE 2.0, a 750B-Parameter Open-Weight MoE Model with 262K Context

LG AI Research has released K-EXAONE 2.0, a 750-billion-parameter mixture-of-experts language model with 37B active parameters, a 262,144-token context window, and support for 10 languages. The model is open-weighted under Apache 2.0 and claims competitive results against Qwen3.5, GLM-5.1, and DeepSeek-V4 Pro on reasoning, coding, and long-context benchmarks.

June 9, 2026
model release

Google DeepMind Releases Gemini 3.5 Live Translate for Real-Time Speech Translation Across 70+ Languages

Google DeepMind released Gemini 3.5 Live Translate, an audio model that provides near real-time speech-to-speech translation across 70+ languages. The model automatically detects languages, preserves speaker intonation and pacing, and maintains a few seconds of latency while generating continuous speech output.