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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
77 vs 65
Hardware Fit
75 vs 88
Quality Score
78 vs 55

Hardware

qwen3.5:9b glm-4.6v-flash
MachineASUSMac Studio
CPUIntel Gen Intel® Core™ i7-13700KApple M2 Max
Cores2412
RAM64 GB96 GB
GPUNVIDIA GeForce RTX 3070Apple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.1
Archx64arm64
Power Modeunknownbalanced

Performance

qwen3.5:9b glm-4.6v-flash
Tokens/sec30.549.9
First chunk291 ms27 ms
TTFT291 ms3.7 s
Load time4.8 s2.7 s
Memory usage8.8 GB0.0 GB
Memory %14%0%

HW Fit Score Breakdown

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

glm-4.6v-flash

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

Quality

qwen3.5:9b

Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate 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
View qwen3.5:9b details | View glm-4.6v-flash details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest