Castform and Neon say a 4B model matched GPT-5.6 Sol at 100x lower cost
A Neon case study says the specialized open-weight model matched GPT-5.6 Sol on retrieval accuracy while costing about 100x less per inference workload.
By Ryan Merket · Published
Primary source: Neon
Why it matters
Castform's result suggests task-specific post-training can make inexpensive open models competitive on narrow production workflows, though the 100x claim rests on a vendor-authored benchmark with limited methodology.
Castform co-founder Ying Hang Seah and Neon say a 4-billion-parameter open-weight model post-trained with Castform retrieved search results as accurately as OpenAI's GPT-5.6 Sol while costing about 100x less.…
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