reasoning benchmark
VITA-Bench
VITA-Bench evaluates AI agents on real-world virtual task automation, measuring their ability to complete complex multi-step tasks in simulated environments.
Updated Aug 11, 2026
Models10
Model coverage10
MetricScore
EvidenceB
VITA-Bench Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 49.7% | 100.0% | 10 | C | |
| 2 | AC | 47.9% | 88.9% | 10 | C | |
| 3 | AC | 45.6% | 77.8% | 10 | C | |
| 4 | AC | 44.3% | 66.7% | 10 | C | |
| 5 | AC | 41.9% | 55.6% | 10 | C | |
| 6 | AC | 35.6% | 44.4% | 10 | C | |
| 7 | AC | 33.6% | 33.3% | 10 | C | |
| 8 | AC | 31.9% | 22.2% | 10 | C | |
| 9 | AC | 29.8% | 11.1% | 10 | C | |
| 10 | AC | 22.0% | 0.0% | 10 | C |
VITA-Bench Score Distribution
A closer view of the leading scores on this benchmark.
VITA-Bench Highlights
The leading models and scores on this benchmark.
What is VITA-Bench?
What VITA-Bench measures and how its scores work.
VITA-Bench evaluates AI agents on real-world virtual task automation, measuring their ability to complete complex multi-step tasks in simulated environments.
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
- Yes
- Evaluation key
- vita-bench|llm-stats-current
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 49.7%.
What does VITA-Bench measure?
VITA-Bench evaluates AI agents on real-world virtual task automation, measuring their ability to complete complex multi-step tasks in simulated environments.
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?
Yes. This benchmark can contribute to the current LLMBoard capability score.