Qwen-MT Turbo: Alibaba Releases Specialized Translation Model Supporting 92 Languages
Alibaba's Qwen team has released qwen-mt-turbo, a specialized machine translation model built on Qwen3 and trained on trillions of multilingual and translation tokens. The model supports 92 languages and dialects covering over 95% of the global population. It incorporates reinforcement learning techniques to improve translation accuracy and linguistic fluency, and is available via the Qwen API.
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Qwen2 Model Family Released: Five Sizes, 128K Context, Multilingual
Alibaba's Qwen team has released Qwen2, an evolution from Qwen1.5, comprising five pretrained and instruction-tuned models ranging from 0.5B to 72B parameters, including a 57B mixture-of-experts variant (57B-A14B). The release highlights training on 27 additional languages beyond English and Chinese, significantly improved coding and mathematics performance, and extended context support up to 128K tokens for the 7B and 72B instruct variants. Benchmark results are claimed to be state-of-the-art across a large number of evaluations.
Qwen-TTS Updated with Chinese Dialect Support and Bilingual Voices
Alibaba's Qwen team has released an update to Qwen-TTS (qwen-tts-2025-05-22), a text-to-speech model trained on millions of hours of speech data. The model claims human-level naturalness and expressiveness, with automatic prosody and emotional inflection adjustment. A notable new capability is support for three Chinese dialects—Pekingese, Shanghainese, and Sichuanese—delivered through seven named Chinese-English bilingual voices accessible via the Qwen API.
Qwen2.5-Turbo Extends Context Length to 1M Tokens
Alibaba's Qwen team has released Qwen2.5-Turbo, extending the model's context window from 128K to 1 million tokens (approximately 1 million English words). The update includes optimizations for both model capabilities and inference performance at extreme context lengths. The model is available via API and through HuggingFace and ModelScope demos.
Qwen releases Qwen3.5-2B multimodal model on Hugging Face
Alibaba's Qwen team released Qwen3.5-2B, a 2-billion-parameter image-text-to-text model, on Hugging Face. The model supports conversational use and is compatible with Azure deployment endpoints. With nearly 2 million downloads, it has seen substantial community uptake.
Qwen2.5-VL: Alibaba's New Flagship Vision-Language Model Released in 3B/7B/72B Sizes
Alibaba's Qwen team has released Qwen2.5-VL, their new flagship vision-language model, representing a significant upgrade over Qwen2-VL. The release includes both base and instruct variants in three sizes (3B, 7B, 72B), all open-weighted and available on Hugging Face and ModelScope. The 72B instruct model is also accessible via Qwen Chat. Key capabilities highlighted include enhanced visual understanding, with the model positioned as a major step forward in multimodal performance.
Qwen releases Qwen3.5-0.8B multimodal model on Hugging Face
Alibaba's Qwen team released Qwen3.5-0.8B, a small-scale image-text-to-text model, on Hugging Face. The model supports conversational use and is compatible with Azure deployment endpoints. With over 2.7 million downloads and 562 likes, it has seen substantial community uptake for a sub-1B parameter multimodal model.
Qwen2.5-LLM: Alibaba releases open-weight language models from 0.5B to 72B
Alibaba's Qwen team releases the Qwen2.5 series of decoder-only dense language models, open-sourcing seven variants spanning 0.5B to 72B parameters. The release targets production use cases in the 10-30B range and mobile deployments at 3B scale. This represents a significant expansion of the open-weights frontier from a Tier 1 Chinese AI lab.
Alibaba releases Qwen3.5 open-weights vision-language model family with MoE architecture across eight sizes
Alibaba released the Qwen3.5 family of eight open-weights vision-language models ranging from 0.8B to 397B parameters, built on a mixture-of-experts architecture with mixed attention and Gated DeltaNet layers. The flagship Qwen3.5-397B-A17B outperforms GPT-5.2, Claude 4.5 Opus, and Gemini-3 Pro on 28 of 44 vision benchmarks, while the 9B model surpasses OpenAI's gpt-oss-120B on most language tasks. Open weights are available under Apache 2.0, with hosted agentic variants (Qwen3.5-Plus, Qwen3.5-Flash) available via Alibaba Cloud. The release is notable for strong small-model efficiency and comes amid reported team departures following the Qwen3 rollout.