The "I don't have enough VRAM" excuse just died.
I’m running Meta’s new 30B Muse Glimmer Q6_K_XL with a massive 130k context window on just 26GB VRAM FREE compute on Kaggle. Kaggle provides you free 2x Nvidia T4 GPUs. 30 hours usage each week! Yesterday, I showed you the
Qwen 3.8 just landed: 2.4 trillion parameters.
And a chat tab is the worst place to use it. The model is a monster: → Near the top of the largest models ever publicly released → Reads text, images, AND video → 1 million token context that it actually uses → Runs
Grok 4.6 just joined the model lineup 👀
So we gave it the same traditional Chinese paper-cut style animation prompt alongside GPT-5.6 Sol, Claude Opus 5, and Qwen 3.8 Max. How do you think Grok 4.6 did? 👇
Same prompt different output
Grok 4.6 - gpt 5.6 sol - qwen 3.8-max - Claude opus 5 who won ?
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