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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

gemma4:12b

OLLAMA GGUF

gemma4 · 11.9B · Q4_K_M

Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
76 vs 89
Hardware Fit
73 vs 88
Quality Score
77 vs 89

Hardware

glm-4.7-flash:bf16 gemma4:12b
MachineNVIDIA NVIDIA_DGX_SparkMacBook Pro
CPUCortex-X925Apple M2 Pro
Cores2010
RAM122 GB16 GB
GPUDevice 2e12Apple M2 Pro
OSUbuntu 24.04.4 LTSmacOS 26.5
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 gemma4:12b
Tokens/sec25.818.4
First chunk605 ms758 ms
TTFT605 ms758 ms
Load time44.2 s0.3 s
Memory usage57.0 GB7.5 GB
Memory %47%47%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed
27/50
TTFT
20/20
Memory
26/30

gemma4:12b

Speed
42/50
TTFT
20/20
Memory
26/30

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

gemma4:12b

Reasoning
17/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.7-flash:bf16 details | View gemma4:12b details

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