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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

qwen3.8:27b-q8_0

OLLAMA GGUF

qwen35 · 27.3B · Q8_0

Excellent

Aug 22, 2026 · AMD EPYC 7713 64-Core Processor

Global Score
85 vs 89
Hardware Fit
95 vs 88
Quality Score
81 vs 89

Hardware

gemma4:e4b-mlx qwen3.8:27b-q8_0
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M2 ProAMD EPYC 7713 64-Core Processor
Cores10128
RAM16 GB1007 GB
GPUApple M2 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.5Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

gemma4:e4b-mlx qwen3.8:27b-q8_0
Tokens/sec47.339.9
First chunk258 ms192 ms
TTFT258 ms192 ms
Load time5.1 s19.0 s
Memory usage7.9 GB51.0 GB
Memory %49%5%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3.8:27b-q8_0

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
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

qwen3.8:27b-q8_0

Reasoning
18/20
Coding
19/20
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

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