DeepSeek's New Model Nearly Matches GPT-6 Astra on Design—at 1.4% of the Cost

In brief

• OpenDesign Arena scored DeepSeek V4.1 Flash at 81.2 out of 100 on real-world design tasks, 98% of GPT-6 Astra's 82.7, while charging $0.023 per finished design against Astra's $1.61.
• Of the 13 models tested—including Claude Fable 5.1, Grok 4.6, and Qwen 3.8-Max—11 scored lower than DeepSeek's model and cost more to run. Only GPT-6 Astra scored higher.
• DeepSeek's technical paper for V4.1 Flash shows the model activates just 8 billion of its 552 billion parameters to read a prompt, the design choice behind its low price.

OpenDesign, the company behind the benchmark site OpenDesign Arena, ran 13 AI models through the same batch of design tasks this week. The top scorer was OpenAI's GPT-6 Astra. But DeepSeek's newest model, V4.1 Flash, reached 98% of that top score while charging about 1.4% of the top price.

OpenDesign Arena scores models on everyday design work—building web apps, dashboards, mobile screens, and landing pages—out of 100 points. Thirty of those points check whether the output actually meets the brief; the other 70 grade design quality on layout, hierarchy, color, and style fit.

It's built to answer a narrower question than most AI leaderboards ask: Which model should a working web designer actually use tomorrow.