glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
Global Score
76 vs 19
Hardware Fit
73 vs 64
Quality Score
77 vs 0
Hardware
glm-4.7-flash:bf16 qwen3-1.7b
MachineNVIDIA NVIDIA_DGX_SparkLENOVO 20BUS00700
CPUCortex-X925Intel Core™ i5-5300U
Cores204
RAM122 GB16 GB
GPUDevice 2e12Intel(R) HD Graphics 5500
OSUbuntu 24.04.4 LTSMicrosoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 qwen3-1.7b
Tokens/sec25.85.9
First chunk605 ms2111 ms
TTFT605 ms2.1 s
Load time44.2 sN/A
Memory usage57.0 GB1.2 GB
Memory %47%8%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
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
qwen3-1.7b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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