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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 26, 2026 · Apple M1 Pro

glm4:9b

OLLAMA GGUF

chatglm · 9.4B · Q4_0

Good

Mar 6, 2026 · Apple M4

Global Score
66 vs 76
Hardware Fit
100 vs 88
Quality Score
52 vs 71

Hardware

hf.co/empero-ai/Qw… glm4:9b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… glm4:9b
Tokens/sec40.219.0
First chunk101 ms290 ms
TTFT101 ms290 ms
Load time2.6 s0.8 s
Memory usage4.7 GB8.1 GB
Memory %30%25%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

glm4:9b

Speed
38/50
TTFT
20/20
Memory
30/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

glm4:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
View hf.co/empero-ai/Qw… details | View glm4:9b 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