qwen3.8:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
68 vs 65
Hardware Fit
22 vs 88
Quality Score
88 vs 55
Hardware
qwen3.8:latest glm-4.6v-flash
MachineSystem manufacturerMac Studio
CPUAMD Ryzen 9 5950X 16-Core ProcessorApple M2 Max
Cores3212
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 3090Apple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.8:latest glm-4.6v-flash
Tokens/sec10.049.9
First chunk1041 ms27 ms
TTFT14.3 s3.7 s
Load time22.3 s2.7 s
Memory usage26.2 GB0.0 GB
Memory %82%0%
HW Fit Score Breakdown
qwen3.8:latest
Speed
12/50
TTFT
1/20
Memory
9/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.8:latest
Reasoning
19/20
Coding
19/20
Instruction
10/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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