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Local Qwen3.6-35B Outperforms Claude Opus 4.7 for Image Generation
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Originally published on Simon Willison's Weblog by Simon Willison
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Summary & Key Takeaways
- Simon Willison conducted a direct comparison between a locally hosted Qwen3.6-35B-A3B model and Anthropic's Claude Opus 4.7 for image generation.
- Surprisingly, the local Qwen model produced a more impressive pelican image than the commercial Claude Opus 4.7.
- This highlights the growing capabilities of smaller, locally runnable AI models.
Our Commentary
This is exactly the kind of real-world, anecdotal comparison we love to see. It challenges the perception that only the largest, cloud-hosted models can deliver top-tier results. The fact that a model running on a laptop can outperform a commercial API for a specific task is a powerful statement about the progress in local AI and the potential of open-source models. It makes us wonder what other 'underdog' models are out there waiting to surprise us.
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