GLM-5.3-Flash beats DeepSeek-V4-Flash for writing and vision on 2× DGX Spark
kuhunaxeyive · reddit · 2026-09-03
The author compared DeepSeek-V4-Flash-0731 (official weights) vs GLM-5.3-Flash (RedHatAI NVFP4 quant) on two Asus Ascent GX10s (2× DGX Spark).
GLM wins: reaches correct conclusions faster; much better writing in non-English/Chinese; better text-essence extraction; superb vision — DeepSeek's Vision-Exp caps image input at 384 tokens, rendering images too blurry for real OCR; better benchmarks; and decisively, far fewer hallucinations — office work can't run test-and-improve loops like code, so one-shot accuracy matters most.
DeepSeek wins: official original weights; faster token generation, though not faster to a final result.
Core pain point: no GLM build with official weights runs on 2× DGX Spark, so the author keeps tuning the quantized build to remove artifacts.
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