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aya-expanse:8b

OLLAMA GGUF

command-r · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3.5-9b-mlx

LM-STUDIO MLX

qwen3_5 · 9B · 4bit

Good

Mar 12, 2026 · Apple M4 Pro

Global Score
72 vs 77
Hardware Fit
89 vs 67
Quality Score
65 vs 81

Hardware

aya-expanse:8b qwen3.5-9b-mlx
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

aya-expanse:8b qwen3.5-9b-mlx
Tokens/sec19.720.3
First chunk350 ms4216 ms
TTFT350 ms4.2 s
Load time0.9 sN/A
Memory usage6.2 GB5.6 GB
Memory %20%9%

HW Fit Score Breakdown

aya-expanse:8b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen3.5-9b-mlx

Speed
29/50
TTFT
8/20
Memory
30/30

Quality

aya-expanse:8b

Reasoning
10/20
Coding
13/20
Instruction
14/20
Structured
14/15
Math
4/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen3.5-9b-mlx

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

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