Self-verification scaling with DeepSeek V4 Flash beats Claude at 1/11 the cost
TheZachMueller · x · 2026-08-18
On Terminal-Bench 2.1, sampling 5 solutions with DeepSeek V4 Flash and ranking them with the same model as an LLM-as-a-Verifier boosts accuracy from 79% to 88%, outperforming closed frontier Claude Fable 5 while being 11x cheaper.
@tokenbender comments: this is not alpha, it's great leveraged beta — intelligence per dollar only has real value if an enterprise has good evals it can trust, which almost none do. So 90% of his founder conversations start with building a 100-200 example representative eval set first.
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