Agentic benchmark
VITA-Bench leaderboard
Every model the catalog carries a published VITA-Bench value for, ranked by that value.
An interactive real-world agent benchmark grounded in practical consumer-service tasks such as delivery, in-store consumption, and online travel workflows.
VITA-Bench ranking
12 models with a published VITA-Bench value, ordered by that value, highest first. Models the source has not scored on this benchmark are not listed — they are unmeasured, not last.
| Rank | Model | Provider | End-to-end interactive agent evaluation |
|---|---|---|---|
| 1 |  Qwen3.7 Max | Alibaba | 47.9 |
| 2 | Qwen3.7 Plus | Alibaba | 45.6 |
| 3 | Qwen3.6 Plus | Alibaba | 44.3 |
| 4 | Qwen3.5 397B | Alibaba | 43.7 |
| 5 |  Agents-A1-4B | InternScience | 40.3 |
| 6 | Agents-A1 | InternScience | 38.8 |
| 7 | Qwen3.6-35B-A3B | Alibaba | 35.6 |
| 8 |  Claude Opus 4.5 | Anthropic | 23.3 |
| 9 |  LongCat-Flash-Lite-Sparse | Meituan | 21.7 |
| 10 |  DeepSeek V3.2 | DeepSeek | 18.5 |
| 11 | Claude Sonnet 4.5 | Anthropic | 17.0 |
| 12 |  GLM-4.7 | Z.AI | 15.5 |
Evidence key: Observed
Rows are ordered by the value VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications published, highest first. The source does not state whether a higher value is the better result, so this page does not either: for a benchmark that measures a rate of failure, read the table from the bottom.