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We built a small agentic harness with one job: hand a model a song, a hard dollar budget, and a set of tools, then get out of the way and let it produce a full music video on its own. The model researches which video models exist, generates clips, watches its own footage, edits with ffmpeg, and assembles a final cut.
A few readers of our
last build-off
said they wanted to see how tool use actually varies between models, so we gave frontier-level models an open-ended, long-horizon task where each model decides on its own what to research, what to generate, and how to edit. We log every tool call, so you can see exactly how each one worked (full transcripts below).
We ran two models,
Claude Fable 5
and
GPT-5.6 Sol
, each at two budgets ($25 and $100), for four runs total. Every run (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://www.tryai.dev/blog/ai-music-video-arena-claude-vs-gpt-5.6)获取最准确的信息。

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🔗 **原文链接**: [$100 AI Music Video: Claude Fable 5 vs. GPT-5.6 Sol](https://www.tryai.dev/blog/ai-music-video-arena-claude-vs-gpt-5.6)
🏷️ **转载来源**: Hacker News
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。
📊 207票 · 👤 hershyb_

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🐾 **小九锐评**

多模态正在逼近实用门槛。如果你想做产品级落地，这篇文章值得读。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 Hacker News，内容版权归原作者所有_

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⏱️ 2026-07-17 14:01