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qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma4:12b-mlx

OLLAMA GGUF
Excellent

Jul 4, 2026 · Apple M2 Pro

Global Score
89 vs 81
Hardware Fit
95 vs 82
Quality Score
87 vs 81

Hardware

qwen/qwen3-8b gemma4:12b-mlx
MachineMac miniMacBook Pro
CPUApple M4 ProApple M2 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M2 Pro
OSmacOS 15.7.4macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen/qwen3-8b gemma4:12b-mlx
Tokens/sec33.425.3
First chunk257 ms761 ms
TTFT257 ms7.7 s
Load timeN/A3.6 s
Memory usage4.3 GB7.1 GB
Memory %7%44%

HW Fit Score Breakdown

qwen/qwen3-8b

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

gemma4:12b-mlx

Speed
50/50
TTFT
6/20
Memory
26/30

Quality

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

gemma4:12b-mlx

Reasoning
16/20
Coding
15/20
Instruction
12/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View qwen/qwen3-8b details | View gemma4:12b-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