Local Large Language Model (LLM) Triumphs: Qwen 3.6 Outperforms Claude Opus 4.7 in Creative SVG Benchmark
product#llm📝 Blog|Analyzed: Apr 16, 2026 22:55•
Published: Apr 16, 2026 17:16
•1 min read
•Simon WillisonAnalysis
This fascinating benchmark highlights the incredible leaps being made in local AI Inference, proving that efficiently quantized models can run beautifully on consumer hardware like a MacBook Pro. Alibaba's Qwen3.6-35B-A3B showcasing superior visual generation capabilities compared to a top-tier Closed Source rival is a thrilling development for the Open Source community. It underscores a vibrant, competitive landscape where accessible models are rapidly mastering complex Multimodal tasks.
Key Takeaways
- •Qwen3.6-35B-A3B successfully ran locally on a MacBook Pro M5 using a 20.9GB quantized model via LM Studio.
- •The Open Source Qwen model generated more accurate and aesthetically pleasing SVGs than Anthropic's Closed Source Claude Opus 4.7.
- •The local model excelled in creative coding tasks, even adding delightful hidden comments like sunglasses on a flamingo.
Reference / Citation
View Original"I’m giving this one to Qwen 3.6. Opus managed to mess up the bicycle frame!"
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