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gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
87 vs 89
Hardware Fit
100 vs 95
Quality Score
81 vs 87

Hardware

gemma4:e4b qwen/qwen3-8b
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac mini
CPUIntel Core™ i5-14400FApple M4 Pro
Cores1614
RAM32 GB64 GB
GPUNVIDIA GeForce RTX 5060 TiApple M4 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b qwen/qwen3-8b
Tokens/sec82.133.4
First chunk64 ms257 ms
TTFT64 ms257 ms
Load time6.1 sN/A
Memory usage3.0 GB4.3 GB
Memory %9%7%

HW Fit Score Breakdown

gemma4:e4b

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

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma4:e4b details | View qwen/qwen3-8b 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