Alibaba

Alibaba has released Qwen3.7 Max, the flagship model in its Qwen3.7 series, featuring a 1 million token context window. The text-only model is designed for agent-centric workloads with strengths in coding, office productivity, and long-horizon autonomous execution, and includes explicit prompt caching support.

Alibaba's Qwen team has released Qwen3.6 Flash, a multimodal language model supporting text, image, and video input with a 1 million token context window. The model is priced at $0.25 per 1M input tokens and $1.50 per 1M output tokens, with tiered pricing above 256K tokens.

Alibaba Cloud has released Qwen3.6-35B-A3B, an open-weight sparse mixture-of-experts model with 35 billion total parameters but only 3 billion active parameters per token. The model features a 262K native context window (expandable to 1M tokens), multimodal input support, and integrated reasoning mode with preserved thinking traces.

Alibaba Cloud has released Qwen3.6 Max Preview, a proprietary frontier model built on sparse mixture-of-experts architecture with approximately 1 trillion total parameters. The model supports a 262,144-token context window and features integrated thinking mode for multi-turn reasoning, priced at $1.30 per million input tokens and $7.80 per million output tokens.

Alibaba's Qwen Team has released Qwen3.6 27B, a 27-billion parameter multimodal language model with a 262,144-token context window. The model accepts text, image, and video inputs and includes a built-in thinking mode for extended reasoning, with pricing at $0.195 per million input tokens and $1.56 per million output tokens.

Alibaba announced Friday that its Qwen AI model will be integrated into vehicles from 10 Chinese automakers including BYD, Geely, Li Auto, and SAIC Volkswagen. The system runs on Nvidia's automotive chip platform and allows drivers to order food delivery, book hotels, and make payments through voice commands, even with limited network connectivity.

Alibaba Cloud released Qwen 3.6 27B, a 27-billion parameter language model, alongside an FP8 quantized version for deployment efficiency. Separately, OpenAI published a privacy filter model on Hugging Face, marking a rare public model release from the company.

Alibaba has released Qwen3.6-27B, a 27-billion parameter language model with a native 262,144 token context window (extensible to 1,010,000 tokens). The model achieves 53.5% on SWE-bench Pro and 77.2% on SWE-bench Verified, with FP8 quantization providing near-identical performance to the full-precision version.

Alibaba Qwen has released Qwen3.6-35B-A3B, a 35-billion parameter mixture-of-experts model with 3 billion activated parameters and a 262,144-token native context window extendable to 1,010,000 tokens. The model scores 73.4 on SWE-bench Verified and features FP8 quantization with performance metrics nearly identical to the original model.

Alibaba has released Qwen3.6-35B-A3B, the first open-weight model in the Qwen3.6 series. The model features 35B total parameters with 3B activated, a native 262K context window extensible to 1.01M tokens, and achieves 73.4% on SWE-bench Verified using 256 experts with 8 activated per token.