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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

qwen3-vl:8b

OLLAMA GGUF

qwen3vl · 8.8B · Q4_K_M

Good

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
78 vs 72
Hardware Fit
72 vs 89
Quality Score
81 vs 64

Hardware

gemma4:e4b-mlx qwen3-vl:8b
MachineMacBook ProHP HP Z8 G4 Workstation
CPUApple M2 ProIntel Xeon® Gold 6230
Cores1080
RAM16 GB252 GB
GPUApple M2 ProTU104GL [Quadro RTX 5000]
OSmacOS 26.5Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

gemma4:e4b-mlx qwen3-vl:8b
Tokens/sec26.968.2
First chunk222 ms285 ms
TTFT222 ms2.0 s
Load time0.1 s42.4 s
Memory usage15.4 GB7.1 GB
Memory %96%3%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

qwen3-vl:8b

Speed
50/50
TTFT
9/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
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-vl:8b

Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong Multilingual: Strong
View gemma4:e4b-mlx details | View qwen3-vl:8b 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