AITOPAI热报
How-toMulti-source

用户实测 WorkBuddy 智能体调用腾讯 Hunyuan Hy4 生成可拆装 3D 耳机

kimmonismus@kimmonismus
Post· 9 sources
View the post
Why we picked it

有人拿腾讯 Hy4 的 API 做了个可拆装的 3D 耳机，Blender 里两次追问就搞定，17 个任务实测结果贴出来了。

用户在 early access 中给 WorkBuddy 智能体布置了 17 个任务，展示其中 6 个结果。这款耳机模型由智能体在 Blender 中完成，仅经过两次追问修改，可以拆开再重组。背后调用的是腾讯 Hunyuan Hy4 的 API。整条推文是作者对 Hy4 3D 生成能力的第一手使用记录。

Original · kimmonismus

These 3D headphones come apart and reassemble. A WorkBuddy agent using Tencent's Hy4 built them in Blender after two follow-ups.

I gave the agent 17 tasks in early access. Here are 6 results made using Hy4's API.

@TencentHunyuan @TencentAI_News @WorkBuddy_AI https://t.co/EHeAzWV6Vk

#Hunyuan#Hy4#WorkBuddy#3D生成#Blender

Keep reading

Recent stories with the same tag or section
ModelsUS vs ChinaMulti-sourceSelected72°00:48
Tencent Hunyuan Hy4 scores 35 on Artificial Analysis Index v5

The striking detail is the cost-efficiency: at US$0.78 per Intelligence Index Task, Hy4 delivers Grok 4.7-level intelligence at a tenth of the price, which shifts the calculus for teams running high-volume agentic workloads. Developers building coding agents should weigh it against Claude Haiku 5.5, which scores higher but costs nearly twice as much; the 89% hallucination rate makes it a weaker pick for knowledge-retrieval tasks. API availability and USD pricing put it in direct reach of Southeast Asian startups comparing China-sourced models.

#Tencent Hunyuan#Hy4#Artificial Analysis#benchmarks
Event
官方账号Artificial Analysis@ArtificialAnlys10 sourcesSource
ModelsUS vs ChinaMulti-sourceSelected18:56
Tencent Hunyuan Hy4 scores 35 on Intelligence Index v5

Hy4 achieves parity with Grok 4.7 at one-tenth the cost, with a Cost per Intelligence Index Task of US$0.78 versus far pricier Western peers. The main caveat is an 89% hallucination rate on AA-Omniscience v1.1 against Kimi K3.1 Pro's 37%, so agentic coding is the safer use case than knowledge retrieval. Teams benchmarking China-based models against Claude, Grok or Qwen options should weigh that trade-off directly.

#Tencent Hunyuan#Hy4#Artificial Analysis#reasoning models
Event
Hunyuan@TXhunyuan10 sourcesSource