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RecreationBench

Progress Over Time

Interactive timeline showing model performance evolution on RecreationBench

State-of-the-art frontier
Open
Proprietary

RecreationBench Leaderboard

2 models
ContextCostLicense
1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
125B
2
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
28B
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About this benchmark

What is RecreationBench?

RecreationBench is Qwen's long-horizon application-recreation benchmark for hybrid agents across Ubuntu, macOS, Windows, Android, and the web.

RecreationBench is a multimodal benchmark evaluating models on multimodal, agents, code, and vision tasks. LLM Stats tracks 2 models on this benchmark, scored on a 0–1 scale. The current average is 0.5, with the leader at 0.5.

Compare leaders on the best AI for multimodal, best AI for agents, best AI for code and best AI for vision leaderboards.

Current leaders

Qwen3.8-Flash-Next from Alibaba Cloud / Qwen Team currently leads the RecreationBench leaderboard with a score of 0.499 across 2 evaluated AI models.

1Qwen3.8-Flash-NextAlibaba Cloud / Qwen Team49.9%
2Qwen3.8-27BAlibaba Cloud / Qwen Team47.1%

FAQ

Common questions about the RecreationBench benchmark and leaderboard.

What is the RecreationBench benchmark?

RecreationBench is Qwen's long-horizon application-recreation benchmark for hybrid agents across Ubuntu, macOS, Windows, Android, and the web.

What is the RecreationBench leaderboard?

The RecreationBench leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Qwen3.8-Flash-Next by Alibaba Cloud / Qwen Team leads with a score of 0.499. The average score across all models is 0.485.

What is the highest RecreationBench score?

The highest RecreationBench score is 0.499, achieved by Qwen3.8-Flash-Next from Alibaba Cloud / Qwen Team.

How many models are evaluated on RecreationBench?

2 models have been evaluated on the RecreationBench benchmark, with 0 verified results and 2 self-reported results.

What categories does RecreationBench cover?

RecreationBench is categorized under multimodal, agents, code, and vision. The benchmark evaluates multimodal models.

What is the best open-source model on RecreationBench?

Qwen3.8-Flash-Next by Alibaba Cloud / Qwen Team is the top-ranked open-source model on RecreationBench, with a score of 0.499 (rank #1).

How recent are the RecreationBench leaderboard results?

The RecreationBench leaderboard was last updated in August 2026 and currently includes 2 evaluated models.