Ox Alpha vs GLM-5.3 Frontier Architecture & Benchmark Matrix

Benchmark Architecture Radar Ox Alpha (Zai)

BENCHMARK WEIGHT ADJUSTMENT (%)

MATH-500 Reasoning 25%

Code (SWE & LiveCode) 25%

Agentic Multi-Turn 20%

128k Long-Context 15%

MMLU-Pro Knowledge 15%

Ox Alpha Weighted

91.4 / 100

GLM-5.3 Weighted

84.8 / 100

DeepSeek-R1 Score

89.6 / 100

Hardware Serving & Sizing Engine Feasible

GPU Cluster

Precision

Context Length 128k

Batch Concurrency 16

VRAM Utilization

42%

KV-Cache Footprint

65.5 GB

Decode Throughput

78.4 tok/s

Hardware Verdict: Fits 8x H100 with 128k KV-cache headroom (42% VRAM utilization). Memory bandwidth allows high real-time throughput.

ARCHITECTURAL LINEAGE PROFILE

Model	Base Architecture	Reasoning Mode	Active Params
Ox Alpha (Zai)	MoE Frontier Hybrid	Inference-Time Tree Search	37B / 280B MoE
GLM-5.3 (Zai Open)	Dense + MoE Base	Standard RLHF + CoT	32B Active
DeepSeek-R1 / V3	MLA Sparse MoE	Large-Scale RL Reasoning	37B / 671B MoE
Claude 3.5 Sonnet	Frontier Dense MoE	System CoT + Scratchpad	Proprietary

Benchmark Matrix Comparison Raw Benchmark Percentages (%)

Model	MATH-500	SWE-Bench	LiveCode	Agentic Tool	MMLU-Pro	Computed Score

Source lineage verified via @MaxForAI / @Zai_org public disclosures. State: Validated & In-Memory