Sapience scores 97.7 on MRCR reading only ~15K tokens, beating GPT-6 Astra's 96.3
gordic_aleksa · x · 2026-09-15
Aleksa Gordić shared a surprising long-context result: on OpenAI's MRCR benchmark, Sapience Labs' custom system scores 97.7 versus 96.3 for GPT-6 Astra.
The key difference is the approach: Sapience reads only 15K tokens and lets the open model DeepSeek V4 Pro do the answering, while Astra has to ingest the full 500K-1M token context. Gordić says he's unaffiliated—the system is built by @lvrzhn—but finds the result promising.
Related event: Sapience tops GPT-6 Astra on MRCR reading just 15K tokens(2 posts)→
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