WHAT NEW IN X10.31 SAT

X 上的 AI 合集档案 · 22 个合集 · 63,170 条

deepseek-v4.1IMAGE

Reflection Beam 1.0 与 DeepSeek V4.1 Flash 在 90 道难题上对比:67 比 6

90 道 BFCL 工具调用、Omni-MATH 7+、SuperGPQA 难题单样本代码判分,Beam 67/90、DeepSeek 66/90,但 Beam 成本约 6 倍。

Aleksey Smolenchuk
@lxe11 天前收录原推发布于 2026.10.20
Reflection Beam 1.0 与 DeepSeek V4.1 Flash 在 90 道难题上对比:67 比 6
Aleksey Smolenchuk @lxe原推发布于 2026.10.20
在 X 上打开原推

Reflection @reflection_ai Beam 1.0 vs DeepSeek V4.1 Flash 1017 on 90 hard specimens (BFCL tool calls, Omni-MATH 7+, SuperGPQA hard), one sample each, code grader on @pocketmodelai: Beam 67/90
DeepSeek 66/90 Beam is 6x the cost. Maybe a lossy quant similar to my dsx experiment can help equalize the pricing here. They are similarly sized models.

x.com/lxe/status/2112317533860839504采集于 2026.10.20 12:05