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gpt-6IMAGE

长上下文 MRCR 对比:Sapience 97.7 略胜 Astra 96.3

在 OpenAI 的 MRCR 长文本基准上,只读 15K token 的 Sapience 系统反超要读 50 万到 100 万 token 的 Astra。

Aleksa Gordić (水平问题)
@gordic_aleksa2026.09.15收录原推发布于 2026.09.15
长上下文 MRCR 对比:Sapience 97.7 略胜 Astra 96.3
Aleksa Gordić (水平问题) @gordic_aleksa原推发布于 2026.09.15
在 X 上打开原推

i find these long-context results quite surprising (promising?) on OpenAI's MRCR benchmark @Sapience_Labs scores 97.7 whereas GPT-6 Astra scores 96.3 Sapience is a custom system that reads in only ~15K tokens and an open model (DeepSeek V4 Pro) is doing the answering (Astra has to read the whole thing to answer, i.e. from 500k-1M tokens) [not affiliated with them, @lvrzhn is the guy behind it, i just find it cool]

x.com/gordic_aleksa/status/2099601471348314186采集于 2026.09.15 10:09