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multimodal benchmark

RecreationBench Leaderboard

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

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

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  • FAQ

RecreationBench Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8-Flash-NextAlibaba Cloud / Qwen TeamScore49.90%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.8 FlashAlibaba Cloud / Qwen TeamScore49.90%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.8-27BAlibaba Cloud / Qwen TeamScore47.10%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

RecreationBench Highlights

The leading models and scores on this benchmark.

RecreationBench Score Distribution

A closer view of the leading scores on this benchmark.

RecreationBench

The Top AI Models for RecreationBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is RecreationBench?

What RecreationBench measures and how its scores work.

RecreationBench is a multimodal benchmark for application recreation across Ubuntu, macOS, Windows, Android, and the web.

It measures application-recreation performance using the Score metric, reported as a ratio.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
RecreationBench
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about RecreationBench.

Which model scores highest on RecreationBench?

Qwen3.8-Flash-Next is currently ranked first with 49.90%.

What are the top three models on RecreationBench?

The current leaders are Qwen3.8-Flash-Next (49.90%), Qwen3.8 Flash (49.90%), and Qwen3.8-27B (47.10%).

Which RecreationBench model has the lowest official input price?

Qwen3.8 Flash has the lowest matched official input price at $0.15 input / $0.47 output per 1M tokens.

Which models are fastest among RecreationBench results?

No matched runtime record is currently available.

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does RecreationBench measure?

It measures application-recreation performance using the Score metric, reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 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.

Rank #1Qwen3.8-Flash-Next49.90%
Rank #2Qwen3.8 Flash49.90%
Rank #3Qwen3.8-27B47.10%

Ranking basisThis recreationbench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.8-Flash-NextAlibaba Cloud / Qwen Team
    Score
    49.90%

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RecreationBench, not total model capability
  2. 02
    AC
    Qwen3.8 FlashAlibaba Cloud / Qwen Team
    Score
    49.90%
    Price
    $0.15 input / $0.47 output per 1M tokens

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RecreationBench, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    47.10%

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures RecreationBench, not total model capability

Selection summary

Best AI Models for RecreationBench

Qwen3.8-Flash-Next currently leads RecreationBench with 49.90%. 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.

Qwen3.8-27B
Benchmark rank #1Qwen3.8-Flash-Next49.90%
Benchmark rank #2Qwen3.8 Flash49.90% · $0.15 input / $0.47 output per 1M tokens
Benchmark rank #3Qwen3.8-27B47.10%