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gemma4:e2b-mlx

OLLAMA GGUF
Excellent

Aug 25, 2026 · Apple M1 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
82 vs 89
Hardware Fit
99 vs 88
Quality Score
75 vs 89

Hardware

gemma4:e2b-mlx qwen3.8:27b-q8_0
MachineMacBook ProDell Inc. PowerEdge XE8545
CPUApple M1 ProAMD EPYC 7713 64-Core Processor
Cores10128
RAM16 GB1007 GB
GPUApple M1 ProGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]
OSmacOS 26.6.2Rocky Linux 8.10
Archarm64x64
Power Modebalancedunknown

Performance

gemma4:e2b-mlx qwen3.8:27b-q8_0
Tokens/sec70.439.9
First chunk96 ms192 ms
TTFT96 ms192 ms
Load time2.5 s19.0 s
Memory usage5.7 GB51.0 GB
Memory %36%5%

HW Fit Score Breakdown

gemma4:e2b-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

qwen3.8:27b-q8_0

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

Quality

gemma4:e2b-mlx

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