glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 5, 2026 · Apple M1 Max
Global Score
76 vs 62
Hardware Fit
73 vs 100
Quality Score
77 vs 46
Hardware
glm-4.7-flash:bf16 qwen3.5:0.8b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M1 Max
Cores2010
RAM122 GB32 GB
GPUDevice 2e12Apple M1 Max
OSUbuntu 24.04.4 LTSmacOS 26.3
Archarm64arm64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 qwen3.5:0.8b
Tokens/sec25.865.8
First chunk605 ms230 ms
TTFT605 ms230 ms
Load time44.2 s1.5 s
Memory usage57.0 GB2.6 GB
Memory %47%8%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
qwen3.5:0.8b
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
qwen3.5:0.8b
Reasoning
9/20
Coding
4/20
Instruction
11/20
Structured
13/15
Math
3/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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