Claude Fable 5.2 与 GPT-6.1 Sol 的 3D 体素场景生成成本对比实验
AI/ML API 拿 Claude Fable 5.2 和 GPT-6.1 Sol 做了个 3D 体素场景对决，一个花 $108.87、一个花 $13.02，差 8 倍。贵的那边烟雾都是真几何体、车漆能看清，便宜的只剩黑色剪影。做 3D 生成或要控成本的可以看看再选模型。
AI/ML API 团队做了一组对比实验，让 Claude Fable 5.2 和 GPT-6.1 Sol 各自构建一个 3D 体素（voxel）电影场景。Fable 5.2 花费 $108.87，GPT-6.1 Sol 仅花费 $13.02，两者成本相差约 8 倍。
成本差距来自工作量差异：Fable 5.2 严格执行体素风格，每一缕烟雾都作为几何体逐个放置，并在每个镜头中坚持这种做法。在撞车镜头里，Fable 5.2 生成的翻转汽车有完整光照，车漆配色清晰可辨，而 GPT-6.1 Sol 在同一镜头里只输出了一辆黑色剪影。
对开发者来说，这次对比揭示了一个取舍：贵的输出在风格一致性和细节上明显更完整，便宜的输出则更省预算但细节妥协。两个模型都可在 aimlapi.com 上试用。
Interesting experiment by AI/ML API (@aimlapi). Claude Fable 5.2 against GPT-6.1 Sol on building a 3D voxel movie scene.
Fable 5.2 spent $108.87 and GPT-6.1 Sol $13.02.
But that cost reflects that extra work: Fable 5.2 sticks to voxels. A strict voxel style means every puff of smoke is geometry the model has to place, and Fable did it in every shot.
Also, in the crash shot, Fable’s flipping car is lit and its paint scheme is readable. Sol’s car is a dark silhouette in the same shot.
you can try Fable 5.2 vs GPT-6.1 Sol on aimlapi[.]com
https://t.co/3ORsnxq1do
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison and AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Claude, GPT, 3D生成, 智能体.
Source attribution: curated from rohanpaul_ai (@rohanpaul_ai).
