BlogLLM Benchmark Scores as Published, Side by Side

Design Bench: Results as Published

Every result the catalog holds for Design Bench: 5 models from 5 developers, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.

Area Engineering and DesignMaintainer Moonshot AIIntroduced 2026Data version 2026103001, as of 2026-10-30

Design Bench is an in-house graphic-design test of Moonshot AI, prompted directly and with reference-image few-shot examples. Models work through python-pptx, pptxjs and Kimi's in-house DSL in a harness with search and image generation. An automated grader calibrated on more than 10,000 human judgments compares the outputs, and the result is an Elo score.

Design Bench (Internal, Elo)

ModelValuePrinted bySetup as printed
GPT-6 AstraOpenAI, released 2026-09-031076Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Effort: max; Fallback: with fallback
Claude Opus 5.5Anthropic, released 2026-09-22927Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Effort: max; Fallback: with fallback
DeepSeek-V4.1-Flash-1017DeepSeek, released 2026-10-17863Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Effort: max
Kimi K3.1 ProMoonshot AI, released 2026-10-23957Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Effort: max
GLM-5.3Z.ai, released 2026-08-18718Moonshot AI, Introducing Kimi K3.1 Prochecked 2026-10-24Effort: max

Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.