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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
78 vs 83
Hardware Fit
72 vs 100
Quality Score
81 vs 76

Hardware

gemma4:e4b-mlx qwen3-5-4b-q4-k-m
MachineMacBook ProMac Pro
CPUApple M2 ProIntel Core™ i5-10400
Cores1012
RAM16 GB32 GB
GPUApple M2 ProAMD Radeon RX 6700 XT
OSmacOS 26.5macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx qwen3-5-4b-q4-k-m
Tokens/sec26.962.7
First chunk222 ms278 ms
TTFT222 ms278 ms
Load time0.1 s0.0 s
Memory usage15.4 GB0.0 GB
Memory %96%0%

HW Fit Score Breakdown

gemma4:e4b-mlx

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

qwen3-5-4b-q4-k-m

Speed
50/50
TTFT
20/20
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

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma4:e4b-mlx details | View qwen3-5-4b-q4-k-m 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