reasoning benchmark
QwenWorldBench Leaderboard
QwenWorldBench is Qwen's internal benchmark for evaluating LLMs as world models that simulate agentic environments across Terminal, SWE, MCP, Search, OS, Android, and Web domains.
Updated Aug 17, 2026
Models2
Model coverage2
MetricScore
EvidenceB
QwenWorldBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score62.1% | Percentile100.0% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelAC | Score57.3% | Percentile0.0% | Participants2 | EvidenceC | Evaluated |
QwenWorldBench Highlights
The leading models and scores on this benchmark.
QwenWorldBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for QwenWorldBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis qwenworldbench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen3.7-PlusAlibaba Cloud / Qwen Team
- Score
- 62.1%
- Price
- $0.50 input / $3.0 output per 1M tokens
Strengths
- Ranks #1 of 2 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures QwenWorldBench, not total model capability
- 02ACQwen3.7 MaxAlibaba Cloud / Qwen Team
- Score
- 57.3%
- Price
- $2.5 input / $7.5 output per 1M tokens
- Speed
- Up to 5.8 tok/s via Together
Strengths
- Ranks #2 of 2 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures QwenWorldBench, not total model capability
Selection summary
Best AI Models for QwenWorldBench
Qwen3.7-Plus currently leads QwenWorldBench with 62.1%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is QwenWorldBench?
What QwenWorldBench measures and how its scores work.
QwenWorldBench is Qwen's internal benchmark for evaluating LLMs as world models that simulate agentic environments across Terminal, SWE, MCP, Search, OS, Android, and Web domains.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- QwenWorldBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- qwenworldbench|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about QwenWorldBench.
Which model scores highest on QwenWorldBench?
Qwen3.7-Plus is currently ranked first with 62.1%.
What does QwenWorldBench measure?
QwenWorldBench is Qwen's internal benchmark for evaluating LLMs as world models that simulate agentic environments across Terminal, SWE, MCP, Search, OS, Android, and Web domains.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.