Benchmark Comparison: Qwen3.6-35B-A3B Outperforms Claude Opus 4.7 in Pelican Image Generation Test
By
simonw
Crackling crust, pillowy middle. The kind of bagel that earns a second cup of coffee.
Summary
The article presents a comparative benchmark test between two AI language models - Qwen3.6-35B-A3B from Alibaba and Claude Opus 4.7 from Anthropic. The author uses a specific "pelican riding a bicycle" benchmark to evaluate the models' image generation capabilities. The Qwen3.6 model, running locally on a MacBook Pro M5 via LM Studio with a quantized 20.9GB model, produced a better pelican image than Claude Opus 4.7, which the author states "managed to mess up." The article serves as a performance comparison of the latest AI model releases.
Key quotes
· 4 pulledFor anyone who has been taking my pelican riding a bicycle benchmark seriously as a robust way to test models, here are pelicans from this morning's two big model releases—Qwen3.6-35B-A3B from Alibaba and Claude Opus 4.7 from Anthropic.
Here's the Qwen 3.6 pelican, generated using this 20.9GB Qwen3.6-35B-A3B-UD-Q4_K_S.gguf quantized model by Unsloth, running on my MacBook Pro M5 via LM Studio (and the llm-lmstudio plugin)
And here's one I got from Anthropic's brand new Claude Opus 4.7
I'm giving this one to Qwen 3.6. Opus managed to mess up
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