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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
76 vs 90
Hardware Fit
73 vs 78
Quality Score
77 vs 95

Hardware

glm-4.7-flash:bf16 gemma4:e4b-mlx
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:e4b-mlx
Tokens/sec25.846.1
First chunk605 ms284 ms
TTFT605 ms3.9 s
Load time44.2 s0.1 s
Memory usage57.0 GB10.8 GB
Memory %47%68%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

gemma4:e4b-mlx

Speed
50/50
TTFT
12/20
Memory
16/30

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:e4b-mlx

Reasoning
19/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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