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glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

Global Score
76 vs 71
Hardware Fit
73 vs 35
Quality Score
77 vs 86

Hardware

glm-4.7-flash:bf16 google/gemma-3-27b
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4
Cores2010
RAM122 GB24 GB
GPUDevice 2e12Apple M4
OSUbuntu 24.04.4 LTSmacOS 26.3
Archarm64arm64
Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 google/gemma-3-27b
Tokens/sec25.85.9
First chunk605 ms19 ms
TTFT605 ms1.8 s
Load time44.2 sN/A
Memory usage57.0 GB22.0 GB
Memory %47%92%

HW Fit Score Breakdown

glm-4.7-flash:bf16

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

google/gemma-3-27b

Speed
12/50
TTFT
19/20
Memory
4/30

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

google/gemma-3-27b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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