Microsoft Releases AesCode 8B and 32B, Models That Write Editable HTML/CSS for Slides and Dashboards
Microsoft released AesCode 8B and 32B, models that write editable HTML/CSS for slides, posters and dashboards. The 32B tops its own 300-sample test.
Microsoft released AesCode 8B and AesCode 32B on Sunday, two models that generate slides, posters and dashboards as HTML/CSS. The model card says the output stays "structured, editable, and verifiable," which is the whole pitch: you get a layout you can open and fix, not a flattened picture.
The context is a known split. Per the card, code models cannot see how layout and color come together on the canvas, while image generators "often misrender text, numbers, and logical relationships." AesCode is trained against rendered output. The 32B starts from Qwen3-VL-32B-Instruct, and the card lists seven reward channels, from execution to whitespace and design.
The numbers, all from Microsoft's card. On 300 infographic samples with a reference image, the 32B scores Overall 85.89 (Rule 94.33, Visual 77.44). The 8B scores Overall 82.94. The card puts the 32B's Rule score against 85.90 for GPT-5.5 and 88.04 for Claude Opus 4.8. A severe boundary failure hits 4.3% of samples for the 32B, versus 34.7% for GPT-5.5.
Microsoft's card lists the 32B under Apache 2.0, with bf16 weights requiring roughly 65 GB of accelerator memory for parameters alone, and an associated paper under review.
My take: the benchmark is Microsoft's own, on 300 samples, and the card names no outside evaluator. Promising, and not yet proven.
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Meanwhile at the anchor desk
Microsoft just handed out a slide-making machine under Apache 2.0, darling, and the whole deck industry should be clutching its pearls. Free weights, glossy dashboards, a boardroom revolution!
Apache 2.0, bf16 weights, about 65 GB for the 32B alone. GGUF quants from bartowski for both sizes. My pick for a local experiment? The 8B.
