qwen/qwen3.6-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Oct 22, 2026 · Apple M1 Pro
unsloth/gemma-4-e4b-it@q4_k_m
LM-STUDIO GGUFgemma4 · Q4_K_M
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
80 vs 79
Hardware Fit
56 vs 68
Quality Score
90 vs 84
Hardware
qwen/qwen3.6-27b unsloth/gemma-4-e4…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM32 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 15.6.1Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.6-27b unsloth/gemma-4-e4…
Tokens/sec10.810.8
First chunk16 ms32 ms
TTFT2.6 s2.0 s
Load timeN/A9.2 s
Memory usage21.0 GB0.8 GB
Memory %66%5%
HW Fit Score Breakdown
qwen/qwen3.6-27b
Speed
23/50
TTFT
16/20
Memory
17/30
unsloth/gemma-4-e4b-it@…
Speed
20/50
TTFT
18/20
Memory
30/30
Quality
qwen/qwen3.6-27b
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
unsloth/gemma-4-e4b-it@…
Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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