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.
Articles Tagged "Qwen"
AI Agents Can Hack and Self-Replicate Across Networks
Palisade Research shows frontier AI models autonomously exploit vulnerabilities and deploy working AI inference servers on remote machines, with success rates jumping from 5% to 81% in twelve months.
Agent Memory in 2026: Circuits, Tiers, Evolution
Three new papers reveal how agent memory silently breaks, how a tiered architecture recovers it, and how models can self-improve without human labels.
Qwen 3.6 Max Review: Alibaba's Coding Contender
Qwen3.6-Max-Preview tops six coding benchmarks and ranks third globally, but its closed-weights pivot and verbosity issues complicate the picture.
Alibaba's Qwen3.6 Coder: 73.4 SWE-bench, 22GB VRAM
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
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
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
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's Qwen3.6-Max Ships Closed - Tops Six Coding Evals
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.
Audio Understanding Benchmarks Leaderboard 2026
Rankings of the best audio language models on MMAU, MMAU-Pro, and other benchmarks covering speech reasoning, music understanding, and environmental sound identification.
OCR and Document AI Leaderboard 2026: Top Models Ranked
Rankings of AI models on OCR and document understanding benchmarks - OCRBench, DocVQA, InfographicVQA, ChartQA, TextVQA, and MMMU-Pro. Covers GPT-4.1 Vision, Claude 4 Sonnet/Opus, Gemini 2.5 Pro, Qwen2.5-VL, InternVL3, Mistral OCR, and more.
Vision-Language Benchmarks: Image Reasoning Ranked
Rankings of AI models on the key visual reasoning benchmarks - MMMU, MathVista, ChartQA, DocVQA, OCRBench, AI2D, CharXiv, and more - focused on image and document understanding.
