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Qwen 3.6 Small MoE Model Running Locally Outperforms Claude Opus 4.7 on SVG Generation Benchmark

Published 2026-04-16Ingested 2026-04-17Foundation ModelsMedium⭐ Timeline Candidate

Summary

Simon Willison, a prominent developer and AI commentator, reported that Alibaba's Qwen3.6-35B-A3B mixture-of-experts model — running locally on his laptop — produced a superior SVG rendering of a pelican riding a bicycle compared to Anthropic's Claude Opus 4.7. The Qwen model uses only 3 billion active parameters despite having 35 billion total parameters, making it lightweight enough for consumer hardware inference. While Willison himself notes his 'pelican riding a bicycle' SVG generation tes

Alignment: Reinforces current position
Related Positions: multi-model-multi-vendor.md, ai-infrastructure-strategy.md
Related Partnerships: anthropic-claude.md
qwenmixture-of-expertsopen-weight-modelslocal-inferenceclaude-opusanthropicalibabasvg-generationmodel-comparisonmulti-model-strategy
Qwen 3.6 Small MoE Model Running Locally Outperforms Claude Opus 4.7 on SVG Generation Benchmark — Intelligence — Agentic Developer Tools Radar · Signal