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qwen3:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Mar 5, 2026 · Intel Core™ Ultra 9 285K

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
86 vs 65
Hardware Fit
98 vs 88
Quality Score
81 vs 55

Hardware

qwen3:30b glm-4.6v-flash
MachineASUSMac Studio
CPUIntel Core™ Ultra 9 285KApple M2 Max
Cores2412
RAM47 GB96 GB
GPUNVIDIA GeForce RTX 5090, Intel(R) GraphicsApple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3:30b glm-4.6v-flash
Tokens/sec204.849.9
First chunk96 ms27 ms
TTFT674 ms3.7 s
Load time5.2 s2.7 s
Memory usage20.5 GB0.0 GB
Memory %43%0%

HW Fit Score Breakdown

qwen3:30b

Speed
50/50
TTFT
20/20
Memory
28/30

glm-4.6v-flash

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

Quality

qwen3:30b

Reasoning
16/20
Coding
12/20
Instruction
17/20
Structured
12/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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 qwen3:30b details | View glm-4.6v-flash 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