glm-4.7-flash:bf16
OLLAMA GGUFdeepseek2 · 29.9B · F16
Jun 26, 2026 · Cortex-X925
gemma3:270m
OLLAMA GGUFgemma3 · 268.10M · Q8_0
Mar 5, 2026 · Apple M3 Pro
Global Score
76 vs 50
Hardware Fit
73 vs 97
Quality Score
77 vs 30
Hardware
glm-4.7-flash:bf16 gemma3:270m
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M3 Pro
Cores2012
RAM122 GB36 GB
GPUDevice 2e12Apple M3 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.5
Archarm64arm64
Power Modeperformancebalanced
Performance
glm-4.7-flash:bf16 gemma3:270m
Tokens/sec25.8239.2
First chunk605 ms127 ms
TTFT605 ms127 ms
Load time44.2 s0.7 s
Memory usage57.0 GB0.6 GB
Memory %47%2%
HW Fit Score Breakdown
glm-4.7-flash:bf16
Speed
27/50
TTFT
20/20
Memory
26/30
gemma3:270m
Speed
50/50
TTFT
20/20
Memory
27/30
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
gemma3:270m
Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak
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