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google/gemma-3-27b

LM-STUDIO MLX

gemma3 · 27B · 4bit

Not Rec.

Mar 19, 2026 · Apple M4

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
71 vs 80
Hardware Fit
35 vs 95
Quality Score
86 vs 73

Hardware

google/gemma-3-27b lfm2.5:8b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

google/gemma-3-27b lfm2.5:8b
Tokens/sec5.998.5
First chunk19 ms167 ms
TTFT1.8 s2.5 s
Load timeN/A3.0 s
Memory usage22.0 GB6.0 GB
Memory %92%37%

HW Fit Score Breakdown

google/gemma-3-27b

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

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

Quality

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

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View google/gemma-3-27b details | View lfm2.5:8b 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