Alibaba

A case of a frontier open-weight model disclosing the rationale for its architecture choices ablation by ablation. In the authors' own reporting, loss and downstream accuracy do not always move together, and combining th

China's largest AI infrastructure fundraising. A race to secure compute that accepts equity dilution

A practice in which the promise to open up a top model and its actual release come apart. It was pointed out at the same time that Kimi K3 had done the same — grounds for recording the announcement date and the weight re

While the top model moves to its own license, the small model stays on Apache 2.0 — a two-track licensing split by scale

The top open-weight model reverts to a custom license rather than Apache. Qwen3.8-Max is a closed commercial version built on it

A dense 27B beat its 397B MoE predecessor, and the center of gravity of truly open models moved down to the 30B class

Open-weight omni-modal models caught up with the frontier, handling 10 hours of audio and 400 seconds of video

Applies early-fusion multimodal training to a large Apache 2.0 MoE. Plus remains closed, so open and closed run in parallel

Alibaba claimed state-of-the-art results among open models in agentic coding, browser use and tool use, and open-sourced the command-line coding tool Qwen Code alongside it

The point where open-weight embeddings overtook commercial API models on the leaderboard

The point the open-weight camp reached by releasing embeddings and rerankers as a single lineage

A strategy of covering every size class with an unrestricted license overtook Llama in the number of derivative models on HF

The full release following QwQ-32B-Preview; Alibaba claims performance comparable to DeepSeek-R1 (671B total, 37B active) at 32B

The first open reasoning model after o1

All open models except the 3B and 72B were released under Apache 2.0, and the 14B and 32B sizes missing from the previous generation returned

Only the 72B kept the original Qianwen License while the other four moved to Apache 2.0, the release where Qwen's licensing began to open up

A sign that small open-weight models were starting to overtake commercial APIs

Alibaba's first open-weight language model; the original release was trained on 2.2T tokens, raised to 2.4T in an update on September 25, 2023