qwen3.8:27b-q8_0
OLLAMA GGUFqwen35 · 27.3B · Q8_0
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
89 vs 65
Hardware Fit
88 vs 88
Quality Score
89 vs 55
Hardware
qwen3.8:27b-q8_0 glm-4.6v-flash
MachineDell Inc. PowerEdge XE8545Mac Studio
CPUAMD EPYC 7713 64-Core ProcessorApple M2 Max
Cores12812
RAM1007 GB96 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M2 Max
OSRocky Linux 8.10macOS 26.1
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-q8_0 glm-4.6v-flash
Tokens/sec40.049.9
First chunk177 ms27 ms
TTFT177 ms3.7 s
Load time24.7 s2.7 s
Memory usage51.0 GB0.0 GB
Memory %5%0%
HW Fit Score Breakdown
qwen3.8:27b-q8_0
Speed
38/50
TTFT
20/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.8:27b-q8_0
Reasoning
18/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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
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