qwen3-0.6b
LM-STUDIO GGUFqwen3 · 0.6B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
40 vs 65
Hardware Fit
89 vs 88
Quality Score
19 vs 55
Hardware
qwen3-0.6b glm-4.6v-flash
MachineLENOVO 20BUS00700Mac Studio
CPUIntel Core™ i5-5300UApple M2 Max
Cores412
RAM16 GB96 GB
GPUIntel(R) HD Graphics 5500Apple M2 Max
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3-0.6b glm-4.6v-flash
Tokens/sec14.449.9
First chunk854 ms27 ms
TTFT854 ms3.7 s
Load timeN/A2.7 s
Memory usage0.5 GB0.0 GB
Memory %3%0%
HW Fit Score Breakdown
qwen3-0.6b
Speed
43/50
TTFT
20/20
Memory
26/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3-0.6b
Reasoning
5/20
Coding
1/20
Instruction
3/20
Structured
4/15
Math
0/15
Multilingual
6/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Weak Math: Poor Multilingual: Adequate
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest