Articles Tagged "Alibaba"

Qwen3.7-Plus

Qwen3.7-Plus

Alibaba's first multimodal agent model, combining GUI grounding (ScreenSpot Pro 79.0), 1M-token context, and text-plus-vision input at $0.40/M tokens.

Qwen3.7-Max

Qwen3.7-Max

Alibaba's agent-first flagship model with a 1M-token context window, topping Terminal-Bench 2.0 and SWE-Bench Pro at roughly one-sixth the cost of Claude Opus 4.7.

Qwen3-Coder-Next

Qwen3-Coder-Next

Qwen3-Coder-Next is an 80B MoE coding model from Alibaba that activates just 3B parameters per forward pass, scoring over 70% on SWE-Bench Verified with agent scaffolding under Apache 2.0.

Qwen3.6-27B

Qwen3.6-27B

Qwen3.6-27B is a 27B dense open-weight multimodal model from Alibaba that scores 77.2% on SWE-bench Verified - beating Alibaba's own 397B MoE - under Apache 2.0.

Qwen3.5-Omni

Qwen3.5-Omni

Alibaba's Qwen3.5-Omni takes text, images, audio, and video as input and streams both text and speech output in a single end-to-end model with a 256K context window.

Qwen3.6-Max-Preview

Qwen3.6-Max-Preview

Alibaba's first closed-weights flagship Qwen ships with a 256K context window, tops six agentic coding benchmarks, and ranks third on the Artificial Analysis Intelligence Index.

Qwen 3.6-35B-A3B

Qwen 3.6-35B-A3B

Alibaba's 35B sparse MoE with 3B active parameters delivers 73.4% SWE-bench Verified, multimodal vision and video, 256K context, and DeltaNet hybrid architecture under Apache 2.0.