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Top 5 · 2026-02-17 · source-backed
Alibaba released Qwen 3.5, a 397B MoE model (17B active per token) that can see and control desktop apps, mobile apps, and web browsers by processing UI screenshots and executing multi-step workflows autonomously. 60% cheaper to run than its predecessor, 8x higher throughput, supports 200+ languages and 2-hour video inputs. Claims to outperform GPT-5.2, Claude Opus 4.5, and Gemini 3 Pro on multiple benchmarks. Open-weight, self-hostable. Ships simultaneously with qwen-code (Claude Code equivalent) and Qwen-Agent framework. What to do: At $0.40/M input tokens with native UI automation, this is the most cost-effective option for building desktop workflow automation. Test via Alibaba Cloud Model Studio.
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Qwen 3.5 is the first major model pretrained specifically for agentic multimodal workflows from the first training stage, not fine-tuned after the fact. 397B total / 17B active parameters (MoE architecture), 256K context window, 201 languages. Ships with Qwen Code (terminal ag...
Xiaomi released MiMo-V2.5-Pro, a 1.02 trillion parameter mixture-of-experts model (42B active) with 1M token context, fully MIT licensed. In benchmarks, it achieves 63.8% success on agentic tasks using 40-60% fewer tokens than Claude Opus 4.6 or GPT-5.4 for comparable results....
Cursor 3 launched April 2 and it's the biggest architectural change since the editor shipped. The IDE is now centered on an Agents Window for running many agents in parallel, across repos, locally, in worktrees, or in the cloud. This isn't a feature update. It's a rethink of w...
Alibaba released Qwen3.6-27B on April 22. Dense architecture. Open weights. 77.2% on SWE-bench Verified, within 3.7 points of Claude Opus 4.6. On SkillsBench, it scores 48.2% versus its own 397B MoE predecessor's 30.0%. That's a 77% improvement with 14.8x fewer parameters. Let...
Moonshot AI dropped Kimi K2.6 today and the numbers are hard to ignore. One trillion parameters total, 32 billion active per token across 384 experts, 256K context window, and native multimodal input. It scores 58.6 on SWE-Bench Pro versus GPT-5.4's 57.7 and Claude Opus 4.6's...
Qwen released Qwen-AgentWorld-35B-A3B on June 24: 35B total parameters, 3B active in an MoE, 256K context, Apache 2.0. It ships with AgentWorldBench. (GitHub) The idea is the interesting part. It's a "language world model," trained to simulate the environment an agent acts in....
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