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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest