Back to leaderboard

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
76 vs 71
Hardware Fit
51 vs 56
Quality Score
87 vs 78

Hardware

gemma-3-27b-it-qat qwen3.5:9b
MachineMac miniSystem manufacturer
CPUApple M4 ProAMD Ryzen 5 5500
Cores1412
RAM64 GB16 GB
GPUApple M4 ProNVIDIA GeForce RTX 3060
OSmacOS 15.7.4Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

gemma-3-27b-it-qat qwen3.5:9b
Tokens/sec8.95.3
First chunk3976 ms1624 ms
TTFT4.0 s1.6 s
Load timeN/A4.0 s
Memory usage15.7 GB7.9 GB
Memory %25%50%

HW Fit Score Breakdown

gemma-3-27b-it-qat

Speed
12/50
TTFT
9/20
Memory
30/30

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

Quality

gemma-3-27b-it-qat

Reasoning
16/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen3.5:9b

Reasoning
14/20
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
View gemma-3-27b-it-qat details | View qwen3.5:9b 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