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qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Excellent

Apr 4, 2026 · AMD RYZEN AI MAX+ 395

Global Score
84 vs 83
Hardware Fit
69 vs 100
Quality Score
90 vs 76

Hardware

qwen/qwen3.8-27b gemma4:e2b
MachineMacBook ProAZW GTR Pro
CPUApple M4 MaxAMD RYZEN AI MAX+ 395
Cores1632
RAM128 GB125 GB
GPUApple M4 MaxRadeon 8060S
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedperformance

Performance

qwen/qwen3.8-27b gemma4:e2b
Tokens/sec28.987.9
First chunk33 ms196 ms
TTFT4.4 s196 ms
Load time7.9 s2.7 s
Memory usage0.0 GB11.2 GB
Memory %0%9%

HW Fit Score Breakdown

qwen/qwen3.8-27b

Speed
33/50
TTFT
6/20
Memory
30/30

gemma4:e2b

Speed
50/50
TTFT
20/20
Memory
30/30

Quality

qwen/qwen3.8-27b

Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

gemma4:e2b

Reasoning
12/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View qwen/qwen3.8-27b details | View gemma4:e2b 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