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Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

Aug 23, 2026 · Intel Gen Intel® Core™ i5-12600K

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
90 vs 65
Hardware Fit
97 vs 88
Quality Score
87 vs 55

Hardware

Qwen3.8-27B-UD-Q3_… glm-4.6v-flash
Machine—Mac Studio
CPUIntel Gen Intel® Core™ i5-12600KApple M2 Max
Cores1612
RAM31 GB96 GB
GPUAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]Apple M2 Max
OSUbuntu 24.04.4 LTSmacOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

Qwen3.8-27B-UD-Q3_… glm-4.6v-flash
Tokens/sec39.049.9
First chunk305 ms27 ms
TTFT305 ms3.7 s
Load time0.0 s2.7 s
Memory usage12.5 GB0.0 GB
Memory %41%0%

HW Fit Score Breakdown

Qwen3.8-27B-UD-Q3_K_XL

Speed
50/50
TTFT
20/20
Memory
27/30

glm-4.6v-flash

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

Quality

Qwen3.8-27B-UD-Q3_K_XL

Reasoning
17/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong 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 Qwen3.8-27B-UD-Q3_… 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