BlogLLM Benchmark Scores as Published, Side by Side

QwenSVGBench: Results as Published

Every result the catalog holds for QwenSVGBench: 5 models from 3 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 Code GenerationMaintainer Alibaba Qwen teamData version 2026103001, as of 2026-10-30

QwenSVGBench is an in-house Qwen benchmark of SVG code generation, where the model writes SVG vector graphics from a prompt. It is bilingual in English and Chinese, the output is rendered automatically, and a multimodal judge grades it. Results are ranked with a Bradley-Terry Elo-style rating, and the page does not state the number of prompts.

QwenSVGBench

ModelValuePrinted bySetup as printed
GPT-5.6 SolOpenAI, released 2026-07-091758Alibaba, Qwen3.8-Max comparisonchecked 2026-10-14Effort: max
Claude Fable 5Anthropic, released 2026-06-091690Alibaba, Qwen3.8-Max comparisonchecked 2026-10-14-
Claude Opus 4.8Anthropic, released 2026-05-281648Alibaba, Qwen3.8-Max comparisonchecked 2026-10-14-
Qwen3.8-MaxAlibaba, released 2026-08-031713Alibaba, Qwen3.8-Max comparisonchecked 2026-10-14-
Qwen3.7-MaxAlibaba1499Alibaba, Qwen3.8-Max comparisonchecked 2026-10-14-

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.