Design Bench
Internal Moonshot Elo-score benchmark for graphic design via direct and reference-image few-shot prompting.
Category
Agentic
Score type
elo
Scale
relative
higher is better
Models tested
3
What is Design Bench?
Design Bench is a benchmark for agentic abilities such as tool use, retrieval and autonomous workflows. The official description says: "Internal Moonshot Elo-score benchmark for graphic design via direct and reference-image few-shot prompting". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
Design Bench measures agentic abilities such as tool use, retrieval and autonomous workflows. In detail, it checks:
- choosing and calling the right tools for a task
- keeping track of what it has already done and what is left
- recovering from failed or contradicting tool results
- completing a defined workflow end-to-end
How to read the score
The score is an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.
Official methodology note: Internal Moonshot Elo-score benchmark for graphic design via direct and reference-image few-shot prompting.
Frequently asked questions
What is the Design Bench benchmark?
Design Bench is a benchmark for agentic abilities such as tool use, retrieval and autonomous workflows. The official description says: 'Internal Moonshot Elo-score benchmark for graphic design via direct and reference-image few-shot prompting'. Below we describe in simple words what benchmarks of this type generally examine.
What does Design Bench test?
Design Bench mainly measures agentic abilities such as tool use, retrieval and autonomous workflows. Concretely, it checks: choosing and calling the right tools for a task; keeping track of what it has already done and what is left; recovering from failed or contradicting tool results.
How is the Design Bench score calculated?
The score is an Elo rating, built from head-to-head comparisons between models (like chess ratings). The number is only meaningful relative to the other rated models — higher is better.
Where do I get Design Bench data and scores?
The official source is https://huggingface.co/moonshotai/Kimi-K3.1-Pro. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/design-bench/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Official benchmark page / paper
The benchmark maintainer's website, paper or leaderboard
Benchmark metadata (JSON)
This page's benchmark record from the Open LLM Radar API
All model scores (JSON download)
Full score table as JSON; paginate with limit/offset params
Open LLM Radar API docs
Swagger UI to explore and reuse all radar API endpoints
Model scores 3 models tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
Kimi K3.1 Pro
Moonshot AI
|
957 Elo
|
07.11.2026 | Report | Verified |
| 2 |
DeepSeek-V4.1-Flash-1017
DeepSeek
|
863 Elo
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |
| 3 |
GLM-5.3
Zhipu AI
|
718 Elo
|
07.11.2026 | Kimi K3.1 Pro model card comparison column (max effort) https://huggingface.co/moonshotai/Kimi-K3.1-Pro | Unverified |