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glm4:9b

OLLAMA GGUF

chatglm · 9.4B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score
76 vs 55
Hardware Fit
88 vs 87
Quality Score
71 vs 41

Hardware

glm4:9b qwen3.5-0.8b-mlx
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

glm4:9b qwen3.5-0.8b-mlx
Tokens/sec19.068.2
First chunk290 ms3268 ms
TTFT290 ms3.3 s
Load time0.8 sN/A
Memory usage8.1 GB0.6 GB
Memory %25%2%

HW Fit Score Breakdown

glm4:9b

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

Quality

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

qwen3.5-0.8b-mlx

Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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