Hy4 Preview def wins this 3D sim of the ISS in orbit contest!
The best frontend output in comparison to Qwen 3.8 Flash, GLM 5.3, and DeepSeek V4 Flash Vision what a crazy week, and GLM 5.3 open weight is coming tmr 🤯 TencentHunyuan
Tencent dropped Hy4 Preview today.
It immediately won ISS test. Same prompt: build a 3D simulation of the ISS in orbit. Hy4 Preview: 1h 52m · $1.30 Qwen 3.8 Flash-Next: 2h 03m · $0.30 GLM 5.3: 1h 46m · $3.20 DeepSeek V4 Flash Vision: 57m · $1.20 Hy4 was the surprise winner for
Even though the main models of Chinese AI are "giant models", their winning paths are different.
The Hy4 preview released by Tencent has a total of 770 billion parameters. Instead of moving all of that every time, it's 49 billion that moves every single token.
CARNICE-V3-27B just made local AI agents way more interesting.
But the benchmark claim isn’t even the part I’d pay attention to. What Carnice actually is: → 27.8B parameters, built on Qwen 3.8-27B → Apache 2.0, open-source, commercial use allowed → Fine-tuned specifically
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