reasoning benchmark
PresentBench Leaderboard
PresentBench evaluates AI agents on producing presentation-style deliverables, including lesson-plan slides and structured documents from source materials.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
PresentBench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score54.60% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score48.30% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
PresentBench Highlights
The leading models and scores on this benchmark.
PresentBench Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for PresentBench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is PresentBench?
What PresentBench measures and how its scores work.
PresentBench is a reasoning benchmark for evaluating AI agents on presentation-style deliverables generated from source materials.
It measures the production of lesson-plan slides and structured documents using the Score metric, reported as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- PresentBench
- 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 PresentBench.
Which model scores highest on PresentBench?
Seed 2.1 Pro is currently ranked first with 54.60%.
What are the top three models on PresentBench?
The current leaders are Seed 2.1 Pro (54.60%) and Seed 2.1 Turbo (48.30%).
Which PresentBench model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among PresentBench 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.