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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 2, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
80 vs 65
Hardware Fit
81 vs 88
Quality Score
80 vs 55

Hardware

qwen3.5:9b glm-4.6v-flash
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:9b glm-4.6v-flash
Tokens/sec11.849.9
First chunkN/A27 ms
TTFT523 ms3.7 s
Load time2.9 s2.7 s
Memory usage9.1 GB0.0 GB
Memory %28%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed
21/50
TTFT
30/20
Memory
30/30

glm-4.6v-flash

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

Quality

qwen3.5:9b

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

glm-4.6v-flash

Reasoning
0/20
Coding
16/20
Instruction
12/20
Structured
2/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Strong Instruction Following: Adequate Structured Output: Poor Math: Strong 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