@AdinaYakup: Qwen released WebWorld an open world model series for web agents 8B/14B/32B+Dataset Apache2.0 +9.9% MiniWob++, +10.9% W…
Summary
Qwen released WebWorld, an open-source model series for web agents (8B/14B/32B) under Apache 2.0, which improves performance on MiniWob++ and WebArena benchmarks.
View Cached Full Text
Cached at: 05/11/26, 08:35 AM
Qwen released WebWorld 🌍 an open world model series for web agents
✨ 8B/14B/32B+Dataset ✨Apache2.0 ✨+9.9% MiniWob++, +10.9% WebArena ✨ Matches Claude Opus 4.1 & Gemini 3 Pro on factuality，beats GPT-5 as world model ✨Unified action space, 30+ step simulation, 5 state https://t.co/X6RL4vxIqp
Similar Articles
@ModelScope2022: Qwen-AgentWorld just dropped two releases on ModelScope! An open 35B total / 3B active MoE world model with 256K contex…
Qwen-AgentWorld releases an open 35B total / 3B active MoE world model with 256K context, along with a 7-domain benchmark, achieving state-of-the-art performance on AgentWorldBench.
Qwen/Qwen-AgentWorld-35B-A3B
Qwen releases Qwen-AgentWorld-35B-A3B, a native language world model that simulates agentic environments across seven domains via long chain-of-thought reasoning. The model is trained with a three-stage pipeline and supports MCP, Search, Terminal, SWE, Android, Web, and OS interactions.
Qwen-AgentWorld-397B-A17B
Qwen released a new large language model, Qwen-AgentWorld-397B-A17B, as detailed on HuggingFace and the Qwen blog.
Qwen3.7: The Agent Frontier (15 minute read)
Alibaba's Qwen team has released Qwen3.7-Max, a proprietary agent-foundation model achieving top scores on multiple benchmarks including Terminal-Bench 2.0, SWE-Pro, and GPQA Diamond, with consistent performance across various code environments.
Qwen-AgentWorld: Language World Models for General Agents
Qwen-AgentWorld introduces language world models for agentic environments, covering seven domains with long chain-of-thought reasoning. The work includes a new benchmark, AgentWorldBench, and shows that world modeling improves downstream agent performance.