QwenWorldBench
Qwen internal benchmark evaluating LLMs as world models for simulating agentic environments across Terminal, SWE, MCP, Search, OS, Android, and Web domains.
6rows
scoreprimary metric
2026-05-28sampled
Metadata
Metrics
Score
| Rank | Subject | Score | Model Match | Provenance | Sampled |
|---|---|---|---|---|---|
| 1 | Qwen3.7 Max | 57.3% |  Qwen3.7 Max qwen-qwen3.7-max | Self-reported | 2026-05-28 |
| 2 | Claude Opus 4.6 Max | 56.1% |  Claude Opus 4.6 anthropic-claude-opus-4.6 | Self-reported | 2026-05-28 |
| 3 | DeepSeek V4 Pro Max | 52.3% |  DeepSeek V4 Pro deepseek-deepseek-v4-pro | Self-reported | 2026-05-28 |
| 4 | Kimi K2.6 Thinking | 50.9% | MoonshotAI: Kimi K2.6 moonshotai-kimi-k2.6 | Self-reported | 2026-05-28 |
| 5 | GLM-5.1 Thinking | 50.2% | GLM 5.1 z-ai-glm-5.1 | Self-reported | 2026-05-28 |
| 6 | Qwen3.6 Plus | 47.6% | Qwen3.6 Plus qwen-qwen3.6-plus | Self-reported | 2026-05-28 |
No matching rows.