Coinbase post-trained a 9B model to beat Opus 4.5 on fraud review, reproducible on Modal

AAAzzam · x · 2026-10-14

A widely shared thread revealed that Coinbase post-trained a 9B-parameter model that beat Anthropic's Opus 4.5 at fraud review at much lower cost and latency; the author also showed how to reproduce it on Modal with minimal setup.

The poster built on this with a take: "owning your intelligence" is cultural in nature — the goal is driving the marginal effort of customizing models per use-case down to zero, so companies default to their own Opus rather than a generic frontier model.

Related event: Coinbase Fine-Tuned Qwen3.5-9B for Fraud Detection, Claims It Beats Frontier Models(11 posts)→

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