qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 18, 2026 · Apple M4 Max
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
87 vs 79
Hardware Fit
83 vs 68
Quality Score
88 vs 84
Hardware
qwen/qwen3.8-27b unsloth/gemma-4-e4…
MachineMacBook ProDocker Container
CPUApple M4 MaxIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM128 GB15 GB
GPUApple M4 MaxTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
qwen/qwen3.8-27b unsloth/gemma-4-e4…
Tokens/sec29.110.8
First chunk9 ms32 ms
TTFT650 ms2.0 s
Load timeN/A9.2 s
Memory usage21.0 GB0.8 GB
Memory %16%5%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
33/50
TTFT
20/20
Memory
30/30
unsloth/gemma-4-e4b-it@…
Speed
20/50
TTFT
18/20
Memory
30/30
Quality
qwen/qwen3.8-27b
Reasoning
18/20
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
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