
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.
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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.

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.

China's government has extended travel restrictions to AI researchers at Alibaba, DeepSeek, and other private firms, requiring official approval before they can leave the country.

Chinese AI providers now handle over 60% of all tokens routed through OpenRouter, up from less than 2% just a year ago.

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-Max-Preview tops six coding benchmarks and ranks third globally, but its closed-weights pivot and verbosity issues complicate the picture.

Qwen3.6-35B-A3B lands with 73.4 on SWE-bench Verified and Apache 2.0 weights, all from 3 billion active parameters routed through a 256-expert MoE. Fits on a single consumer GPU.

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.

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.

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.

Alibaba released Qwen3.6-Max-Preview on April 20 as its first closed-weights flagship, ranking third globally on the Artificial Analysis Intelligence Index while topping six coding benchmarks.

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.