qwen/qwen3-8b
LM-STUDIO MLXqwen3 · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
89 vs 65
Hardware Fit
95 vs 88
Quality Score
87 vs 55
Hardware
qwen/qwen3-8b glm-4.6v-flash
MachineMac miniMac Studio
CPUApple M4 ProApple M2 Max
Cores1412
RAM64 GB96 GB
GPUApple M4 ProApple M2 Max
OSmacOS 15.7.4macOS 26.1
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3-8b glm-4.6v-flash
Tokens/sec33.449.9
First chunk257 ms27 ms
TTFT257 ms3.7 s
Load timeN/A2.7 s
Memory usage4.3 GB0.0 GB
Memory %7%0%
HW Fit Score Breakdown
qwen/qwen3-8b
Speed
45/50
TTFT
20/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen/qwen3-8b
Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
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
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