reasoning benchmark
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
Higher score ranks better on this benchmark.
| 01 | AC | 49.7% | 100.0% | 10 | C | |
| 02 | AC | 47.9% | 88.9% | 10 | C | |
| 03 | AC | 45.6% | 77.8% | 10 | C | |
| 04 | AC | 44.3% | 66.7% | 10 | C | |
| 05 | AC | 41.9% | 55.6% | 10 | C | |
| 06 | AC | 35.6% | 44.4% | 10 | C | |
| 07 | AC | 33.6% | 33.3% | 10 | C | |
| 08 | AC | 31.9% | 22.2% | 10 | C | |
| 09 | AC | 29.8% | 11.1% | 10 | C | |
| 10 | AC | 22.0% | 0.0% | 10 | C |
A closer view of the leading scores on this benchmark.
The leading models and scores on this benchmark.
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.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about VITA-Bench.
Qwen3.5-397B-A17B is currently ranked first with 49.7%.
VITA-Bench evaluates AI agents on real-world virtual task automation, measuring their ability to complete complex multi-step tasks in simulated environments.
Yes. Higher values rank better for this benchmark.
10 model results are currently shown.
Yes. This benchmark can contribute to the current LLMBoard capability score.