productivity benchmark
DECK-Bench Leaderboard
DECK-Bench is Moonshot AI's internal evaluation of agents on creating and reasoning over presentation-style knowledge-work artifacts.
Updated Aug 17, 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 | Score73.5% | Percentile100.0% | 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's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAKimi K3Moonshot AI
- Score
- 73.5%
- Price
- $3.0 input / $15 output per 1M tokens
- Speed
- Up to 26 tok/s via Fireworks
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 73.5%. 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 Moonshot AI's internal evaluation of agents on creating and reasoning over presentation-style knowledge-work artifacts.
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
- deck-bench|llm-stats-current
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 73.5%.
What does DECK-Bench measure?
DECK-Bench is Moonshot AI's internal evaluation of agents on creating and reasoning over presentation-style knowledge-work artifacts.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.