google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
71 vs 77
Hardware Fit
35 vs 53
Quality Score
86 vs 87
Hardware
google/gemma-3-27b qwen3.5:35b
MachineMac miniASUS
CPUApple M4Intel Core™ i5-14600KF
Cores1020
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.3Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
google/gemma-3-27b qwen3.5:35b
Tokens/sec5.916.0
First chunk19 ms719 ms
TTFT1.8 s719 ms
Load timeN/A17.8 s
Memory usage22.0 GB25.0 GB
Memory %92%79%
HW Fit Score Breakdown
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
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
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest