Back to leaderboard

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Qwen3.8-27B-UD-Q3_K_XL

OLLAMA GGUF

llama · 27.3B · Q4_K

Excellent

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

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

Hardware

glm-4.6v-flash Qwen3.8-27B-UD-Q3_…
MachineMac Studio—
CPUApple M2 MaxIntel Gen Intel® Core™ i5-12600K
Cores1216
RAM96 GB31 GB
GPUApple M2 MaxAlderLake-S GT1, AD106 [GeForce RTX 4060 Ti 16GB]
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

glm-4.6v-flash Qwen3.8-27B-UD-Q3_…
Tokens/sec49.939.0
First chunk27 ms305 ms
TTFT3.7 s305 ms
Load time2.7 s0.0 s
Memory usage0.0 GB12.5 GB
Memory %0%41%

HW Fit Score Breakdown

glm-4.6v-flash

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

Qwen3.8-27B-UD-Q3_K_XL

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

Quality

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

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
View glm-4.6v-flash details | View Qwen3.8-27B-UD-Q3_… 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