Alibaba

Qwen3-VL 235B (MoE)

Alibaba

The multimodal flagship of the Qwen 3 series. It integrates 'Interleaved-MRoPE' for superior spatial-temporal modeling and 'DeepStack' for vision-language alignment. It supports native interleaved contexts of up to 256K tokens.

Qwen3-Omni 30B (MoE)

Alibaba

A native end-to-end omni-modal model capable of processing text, image, audio, and video. It supports audio understanding of up to 40 minutes and features a 'Thinker-Talker' MoE architecture for low-latency streaming.

Qwen3 235B (MoE)

Alibaba

The flagship model of the Qwen 3 family, featuring a Mixture-of-Experts architecture with 235B total parameters (22B active). It introduces 'Hybrid Reasoning' capabilities, allowing it to switch between standard generation and a deep 'Thinking Mode' for complex logic. Trained on 36 trillion tokens, with support for 119 languages and dialects. Available in 6 dense models (0.6B to 32B parameters) and 2 MoE models (30B/3B active and 235B/22B active).

Qwen-3

Alibaba

Third-generation Qwen model featuring hybrid reasoning capabilities that can switch between thinking and non-thinking modes. Trained on 36 trillion tokens (double that of Qwen2.5), with support for 119 languages and dialects. Available in 6 dense models (0.6B to 32B parameters) and 2 MoE models (30B/3B active and 235B/22B active).

Qwen2.5-Omni 7B

Alibaba

An end-to-end multimodal model featuring a 'Thinker-Talker' architecture. It accepts text, image, audio, and video inputs and generates real-time streaming speech and text outputs without external ASR/TTS systems.

Qwen2.5-VL 72B

Alibaba

A state-of-the-art vision-language model capable of understanding videos over 1 hour long, performing precise object grounding, and structured output generation. It can also act as a visual agent for computer/mobile GUI operations.

Qwen2.5-Coder 32B

Alibaba

The flagship open-weight coding model of the Qwen 2.5 series. Trained on 5.5 trillion tokens of code, it matches the coding capabilities of GPT-4o in benchmarks like HumanEval and Aider. It supports over 92 programming languages.

Qwen2.5 32B

Alibaba

A highly efficient dense model designed to balance performance and memory requirements. It is open-sourced under Apache 2.0 license and supports long-context understanding. It outperforms many larger models (e.g., Llama-3.1-70B) in specific benchmarks while fitting on consumer-grade hardware.

Qwen2.5 72B

Alibaba

The flagship dense model of the Qwen 2.5 series, pretrained on 18 trillion tokens. It features significant enhancements in knowledge, coding, and mathematics compared to Qwen 2. It supports structured data generation (JSON) and long-context understanding.

Qwen2.5-Math 72B

Alibaba

A specialized model for mathematical reasoning, supporting Chain-of-Thought (CoT) and Tool-Integrated Reasoning (TIR). It achieves state-of-the-art performance among open-weight models on math benchmarks. It supports bilingual (English/Chinese) math reasoning.

Qwen-2

Alibaba

Second-generation Qwen model (72B parameters) open-sourced under Alibaba's Qianwen License. Trained on 3T tokens; released alongside smaller variants and intended as foundation for Alibaba's enterprise AI services.