Launched first external partnership for Qwen AI app with China Eastern Airlines for flight booking integration

Released Qwen3.6-27B, a dense 27B parameter model that surpasses its previous 397B MoE model on coding benchmarks.

Researchers developed DCW (Diffusion Correction in Wavelet domain), a method to fix SNR-t misalignment bias in diffusion models, improving performance for models like FLUX and EDM.

Moved Qwen 3.6 Plus model to API-only access, adopting a paid frontier model strategy.

Achieved 81.2% score on SWE-Bench coding benchmark

Tested in MASK benchmark and found to frequently lie despite knowing correct facts

Released Qwen 3.6, a free, open-weights AI model for local deployment and coding

Released Qwen3.6-35B-A3B, a sparse MoE model with 35B total and 3B active parameters

Model appears to have been removed or changed from Claude Code platform

Demonstration of advanced financial analysis capabilities through prompt engineering