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qwen2.5:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Excellent

Nov 3, 2026 · Intel Gen Intel® Core™ i9-12900HX

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

Global Score
85 vs 78
Hardware Fit
100 vs 72
Quality Score
79 vs 81

Hardware

qwen2.5:7b gemma4:e4b-mlx
MachineMACHENIKE L16PMacBook Pro
CPUIntel Gen Intel® Core™ i9-12900HXApple M2 Pro
Cores2410
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 4060 Laptop GPUApple M2 Pro
OSMicrosoft Windows 11 专业版 10.0.26300macOS 26.5
Archx64arm64
Power Modebalancedbalanced

Performance

qwen2.5:7b gemma4:e4b-mlx
Tokens/sec52.326.9
First chunk50 ms222 ms
TTFT50 ms222 ms
Load time2.0 s0.1 s
Memory usage4.4 GB15.4 GB
Memory %14%96%

HW Fit Score Breakdown

qwen2.5:7b

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

gemma4:e4b-mlx

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

Quality

qwen2.5:7b

Reasoning
14/20
Coding
18/20
Instruction
16/20
Structured
14/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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
View qwen2.5:7b details | View gemma4:e4b-mlx 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