glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
qwen3:30b
OLLAMA GGUFqwen3moe · 30.5B · Q4_K_M
Mar 5, 2026 · Intel Core™ Ultra 9 285K
Global Score
76 vs 86
Hardware Fit
73 vs 98
Quality Score
77 vs 81
Hardware
glm-4.7-flash:bf16 qwen3:30b
MachineNVIDIA NVIDIA_DGX_SparkASUS
CPUCortex-X925Intel Core™ Ultra 9 285K
Cores2024
RAM122 GB47 GB
GPUDevice 2e12NVIDIA GeForce RTX 5090, Intel(R) Graphics
OSUbuntu 24.04.4 LTSMicrosoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 qwen3:30b
Tokens/sec25.8204.8
First chunk605 ms96 ms
TTFT605 ms674 ms
Load time44.2 s5.2 s
Memory usage57.0 GB20.5 GB
Memory %47%43%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
qwen3:30b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
glm-4.7-flash:bf16
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
qwen3:30b
Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest