reasoning benchmark
xDailyBench Leaderboard
xDailyBench evaluates AI agents on white-collar office work, including document handling, consultation, and multi-step productivity workflows.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
xDailyBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score61.00% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score56.40% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
xDailyBench Highlights
The leading models and scores on this benchmark.
xDailyBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for xDailyBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is xDailyBench?
What xDailyBench measures and how its scores work.
xDailyBench is a benchmark for evaluating AI agents on everyday professional tasks in white-collar office work.
It measures performance on document handling, consultation, and multi-step productivity workflows, reported as a Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- xDailyBench
- 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 xDailyBench.
Which model scores highest on xDailyBench?
Seed 2.1 Pro is currently ranked first with 61.00%.
What are the top three models on xDailyBench?
The current leaders are Seed 2.1 Pro (61.00%) and Seed 2.1 Turbo (56.40%).
Which xDailyBench model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among xDailyBench 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.