productivity benchmark
DECK-Bench Leaderboard
DECK-Bench is Moonshot AI's internal evaluation of agents creating and reasoning over presentation-style knowledge-work artifacts.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
DECK-Bench Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score73.50% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
DECK-Bench Highlights
The leading models and scores on this benchmark.
The Top AI Models for DECK-Bench
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis deck-bench AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMoonshot AI
- Score
- 73.50%
- Price
- $3.0 input / $15 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures DECK-Bench, not total model capability
Selection summary
Best AI Models for DECK-Bench
Kimi K3 currently leads DECK-Bench with 73.50%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is DECK-Bench?
What DECK-Bench measures and how its scores work.
DECK-Bench is an internal benchmark from Moonshot AI for evaluating agents on presentation-style knowledge-work artifacts.
It measures agents' ability to create and reason over presentation-style knowledge-work artifacts, 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
- DECK-Bench
- Modality
- text
- Primary category
- productivity
- 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 DECK-Bench.
Which model scores highest on DECK-Bench?
Kimi K3 is currently ranked first with 73.50%.
What are the top three models on DECK-Bench?
The current leaders are Kimi K3 (73.50%).
Which DECK-Bench model has the lowest official input price?
Kimi K3 has the lowest matched official input price at $3.0 input / $15 output per 1M tokens.
Which models are fastest among DECK-Bench 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.