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Two LLMs go to war on equal hardware:

Two LLMs go to war on equal hardware: GLM-5.3-Flash vs DeepSeek-V4.1-Flash, 2 DGX Sparks each. 2x DGX Spark, 256 GB:…

This is a AI post classified by AGK Intelligence as Frontier models (a model release), kept by the AI Radar because it carries real work, not commentary.

Two LLMs go to war on equal hardware: GLM-5.3-Flash vs DeepSeek-V4.1-Flash, 2 DGX Sparks each. 2x DGX Spark, 256 GB: GLM-5.3-Flash Mia's TensorFold recipe, commit bf5f945 Mia's EXL3 quant, 4 bpw 2x DGX Spark, 256 GB: DeepSeek-V4.1-Flash Mia's TensorFold recipe, commit 0e7d421 Mia's EXL3 quant, 2.9 bpw Median thinking time per decision: GLM 173.5 s DeepSeek 33.0 s Decisions in 17 mins of game time: GLM 11 DeepSeek 44 The game does not wait for a model, so a faster thinker gets more decisions. GLM's first try at decision 8 used all 12,000 tokens on thinking and held no orders, so the gam

Posted by Niklas (2.9k followers) 1 days ago · 30 likes · 2.1k views · view the original post on X. Kept by the AI Radar as Frontier models. Tools mentioned: niklaslenz.com.

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Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.2k posts from 5k X accounts over the last 14 days, 10.6k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-07 16:45 UTC. Full method.