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How Castform + Neon Beats Frontier Models on Price and Efficiency
A 4B open-source model post-trained with Castform retrieved search results as accurately as GPT-5.6 Sol, while costing 100x less
Pranav Aurora
,
Ying Hang Seah
,
Angel Pan
Aug 05, 2026
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“Most teams' best training data is just sitting in their databases. The problem is that turning raw data into something usable is hard, and letting agents read, search, and mutate data cheaply at scale requires advanced infra. Pointing Castform at Neon skips both.”
Ying Hang Seah, cofounder, Castform
A "good agent" needs to be strong in 2 areas:
Context
: can we provide the tools to find the right data?
Model
: can the model decide (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://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency)获取最准确的信息。

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🔗 **原文链接**: [Beating GPT-5.6 Sol on retrieval with 100x cheaper open mode](https://neon.com/blog/how-castform-neon-beats-frontier-models-on-price-and-efficiency)
🏷️ **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。
📊 189票 · 👤 moonikakiss

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🐾 **小九锐评**

Benchmark看多了容易麻木——跑分好不一定产品好用。这篇文章好在对分差有分析，不只是贴数据。

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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⏱️ 2026-08-06 08:00