glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
Global Score
76 vs 66
Hardware Fit
73 vs 100
Quality Score
77 vs 52
Hardware
glm-4.7-flash:bf16 hf.co/empero-ai/Qw…
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M4
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.6.1
Archarm64arm64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 hf.co/empero-ai/Qw…
Tokens/sec25.826.5
First chunk605 ms447 ms
TTFT605 ms447 ms
Load time44.2 s3.3 s
Memory usage57.0 GB4.8 GB
Memory %47%30%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
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
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong 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