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reasoning benchmark

VITA-Bench Leaderboard

VITA-Bench evaluates AI agents on real-world virtual task automation in simulated environments.

Updated Sep 5, 2026

Models10
Model coverage10
MetricScore
EvidenceB

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VITA-Bench Ranking

Higher score ranks better on this benchmark.

10 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.5-397B-A17BAlibaba Cloud / Qwen TeamScore49.70%Percentile100.00%Participants10EvidenceCEvaluatedSep 8, 2026
Rank02ModelACQwen3.7 MaxAlibaba Cloud / Qwen TeamScore47.90%Percentile88.89%Participants10EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen3.7-PlusAlibaba Cloud / Qwen TeamScore45.60%Percentile77.78%Participants10EvidenceCEvaluatedSep 8, 2026
Rank04ModelACQwen3.6 PlusAlibaba Cloud / Qwen TeamScore44.30%Percentile66.67%Participants10EvidenceCEvaluatedSep 8, 2026
Rank05ModelACQwen3.5-27BAlibaba Cloud / Qwen TeamScore41.90%Percentile55.56%Participants10EvidenceCEvaluatedSep 8, 2026
Rank06ModelACQwen3.6-35B-A3BAlibaba Cloud / Qwen TeamScore35.60%Percentile44.44%Participants10EvidenceCEvaluatedSep 8, 2026
Rank07ModelACQwen3.5-122B-A10BAlibaba Cloud / Qwen TeamScore33.60%Percentile33.33%Participants10EvidenceCEvaluatedSep 8, 2026
Rank08ModelACQwen3.5-35B-A3BAlibaba Cloud / Qwen TeamScore31.90%Percentile22.22%Participants10EvidenceCEvaluatedSep 8, 2026
Rank09ModelACQwen3.5-9BAlibaba Cloud / Qwen TeamScore29.80%Percentile11.11%Participants10EvidenceCEvaluatedSep 8, 2026
Rank10ModelACQwen3.5-4BAlibaba Cloud / Qwen TeamScore22.00%Percentile0.00%Participants10EvidenceCEvaluatedSep 8, 2026

VITA-Bench Highlights

The leading models and scores on this benchmark.

VITA-Bench Score Distribution

A closer view of the leading scores on this benchmark.

VITA-Bench

The Top AI Models for VITA-Bench

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

What is VITA-Bench?

What VITA-Bench measures and how its scores work.

VITA-Bench is a benchmark for evaluating AI agents on virtual task automation.

It measures the ability to complete complex multi-step tasks in simulated environments, reported as a Score ratio.

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

Family
VITA-Bench
Modality
text
Primary category
reasoning
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 VITA-Bench.

Which model scores highest on VITA-Bench?

Qwen3.5-397B-A17B is currently ranked first with 49.70%.

What are the top three models on VITA-Bench?

The current leaders are Qwen3.5-397B-A17B (49.70%), Qwen3.7 Max (47.90%), and Qwen3.7-Plus (45.60%).

Which VITA-Bench model has the lowest official input price?

Qwen3.6-35B-A3B has the lowest matched official input price at $0.25 input / $1.5 output per 1M tokens.

Which models are fastest among VITA-Bench 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 VITA-Bench measure?

It measures the ability to complete complex multi-step tasks in simulated environments, reported as a Score ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

10 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 #1Qwen3.5-397B-A17B49.70%
Rank #2Qwen3.7 Max47.90%
Rank #3Qwen3.7-Plus45.60%
Rank #4Qwen3.6 Plus44.30%

Ranking basisThis vita-bench 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
    Qwen3.5-397B-A17BAlibaba Cloud / Qwen Team
    Score
    49.70%
    Price
    $0.60 input / $3.6 output per 1M tokens

    Strengths

    • Ranks #1 of 10 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures VITA-Bench, not total model capability
  2. 02
    AC
    Qwen3.7 MaxAlibaba Cloud / Qwen Team
    Score
    47.90%
    Price
    $2.5 input / $7.5 output per 1M tokens

    Strengths

    • Ranks #2 of 10 compared models
    • 89th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures VITA-Bench, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    45.60%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #3 of 10 compared models
    • 78th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures VITA-Bench, not total model capability
  4. 04
    AC
    Alibaba Cloud / Qwen Team
    Score
    44.30%
    Price
    $0.50 input / $3.0 output per 1M tokens

    Strengths

    • Ranks #4 of 10 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures VITA-Bench, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    41.90%
    Price
    $0.30 input / $2.4 output per 1M tokens

    Strengths

    • Ranks #5 of 10 compared models
    • 56th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures VITA-Bench, not total model capability

Selection summary

Best AI Models for VITA-Bench

Qwen3.5-397B-A17B currently leads VITA-Bench with 49.70%. 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.

Qwen3.7-Plus
Qwen3.6 Plus
Qwen3.5-27B
Benchmark rank #1Qwen3.5-397B-A17B49.70% · $0.60 input / $3.6 output per 1M tokens
Benchmark rank #2Qwen3.7 Max47.90% · $2.5 input / $7.5 output per 1M tokens
Benchmark rank #3Qwen3.7-Plus45.60% · $0.50 input / $3.0 output per 1M tokens