Alibaba Qwen3.8 2.4T MoE with 95B active, 1M context, multimodal input. Coder $0.14/$0.80; 397B $0.29/$1.20.

Alibaba's open-weight 27B dense companion to Qwen3.8-Max: Apache 2.0 license, multimodal image-text input, built for local deployment and small-batch inference.

Alibaba's AI IDE. Recurring seats: Lite $10, Pro $20, Pro+ $60, Ultra $200. Usage is Auto credits.

Alibaba open CLI. ModelStudio Coding Plan / Token Plan / API; Qwen OAuth ended 2026-04-15.

Previous Qwen2.5 72B Instruct snapshot. Not a 2026 latest series.

Previous Qwen2.5-Coder 32B Instruct snapshot. Not the latest series.

Qwen2-VL-72B-Instruct is Alibaba's 72B vision-language model with dynamic image resolution and 20+ minute video understanding; Qwen2.5-VL is the newer version.

Qwen-VL is Alibaba Cloud's 2023 vision-language model on Qwen-7B that takes images, text and boxes, with 448 input resolution, grounding and text-reading OCR.

Qwen3-VL-Embedding is Qwen's Apache-2.0 multimodal embedding family (2B, 8B) for text, images and video, with 32K context and up to 4096 dimensions.

Qwen3-VL-Reranker is Alibaba Qwen's Apache 2.0 multimodal reranker in 2B and 8B sizes, with 32K context, 30+ languages and text, image and video input.

Qwen2.5-72B is Alibaba's September 2024 dense LLM snapshot, kept as a catalog reference rather than the current Qwen flagship.

Qwen2.5-Coder-32B is Alibaba's Apache 2.0 base code model (32.5B parameters, 5.5T training tokens, up to 131,072-token context), released November 2024.

QwQ-32B-Preview is Qwen's experimental 32B reasoning model from November 2024, built on Qwen2.5-32B with 32,768 context under Apache 2.0; QwQ-32B followed.

halogen-flash-server is a Strix Halo inference server that runs Qwen3.8-Flash-Next with an OpenAI-compatible API.

NInfer is an Apache-2.0 C++/CUDA engine for selected Qwen checkpoints on a single RTX 5090, with OpenAI- and Anthropic-compatible local APIs.

Inco AI's Apache 2.0 block-diffusion drafter for speculative decoding. Released 2026-08-18 for Qwen3.8-27B and Muse Glimmer.

Kwaipilot's open-weight agentic coding model: 35B MoE, 3B active per token, Qwen3.6 base, Apache 2.0, 262K context, top PinchBench tool-use score.

Alibaba's next-generation Qwen 4 flagship is in training, with a roadmap that projects the Qwen 4.5 and Qwen 5 series to scale to 5-10 trillion parameters.

Alibaba's Qwen-Audio-3.1 stack adds ASR-Next and TTS-Next, with TTS topping the Artificial Analysis TTS leaderboard and API prices cut up to 95%.

Qwen-Drive-1.0-4B is Alibaba's Apache-2.0 driving VLM that unifies 3D perception, VQA, and motion planning.

Qwen-Image-2.1 is Alibaba's 7B open-weights model that both generates and edits images, including native transparent PNGs and edits from up to ten references.

Alibaba's open-weight architecture preview of Qwen4: 125B multimodal MoE with 6B active plus a 51B N-gram table, 262K native context, at $0.16/M input.

Alibaba's 2.4T-parameter open-weight flagship: 95B active MoE, text/image/video input, 1M context, at $2/$6 per million tokens.

Qwen3.8-Omni-Flash is Alibaba's omni-modal agentic model: 1M context, text, image, audio and video input, $0.15/$0.47 per 1M tokens.