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gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Apr 3, 2026 · AMD RYZEN AI MAX+ 395

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score
84 vs 84
Hardware Fit
98 vs 69
Quality Score
78 vs 90

Hardware

gemma4:e4b qwen/qwen3.8-27b
MachineAZW GTR ProMacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M4 Max
Cores3216
RAM125 GB128 GB
GPURadeon 8060SApple M4 Max
OSUbuntu 24.04.4 LTSmacOS 26.5.2
Archx64arm64
Power Modeperformancebalanced

Performance

gemma4:e4b qwen/qwen3.8-27b
Tokens/sec53.028.9
First chunk214 ms33 ms
TTFT214 ms4.4 s
Load time3.1 s7.9 s
Memory usage15.0 GB0.0 GB
Memory %12%0%

HW Fit Score Breakdown

gemma4:e4b

Speed
48/50
TTFT
20/20
Memory
30/30

qwen/qwen3.8-27b

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

Quality

gemma4:e4b

Reasoning
14/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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

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