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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

Global Score
65 vs 88
Hardware Fit
88 vs 69
Quality Score
55 vs 96

Hardware

glm-4.6v-flash orcarouter/Qwen3.8…
MachineMac StudioASUS
CPUApple M2 MaxIntel Core™ i5-10400
Cores1212
RAM96 GB16 GB
GPUApple M2 MaxTodesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSmacOS 26.1Microsoft Windows 10 专业版 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash orcarouter/Qwen3.8…
Tokens/sec49.939.5
First chunk27 ms220 ms
TTFT3.7 s3.2 s
Load time2.7 s13.7 s
Memory usage0.0 GB14.2 GB
Memory %0%89%

HW Fit Score Breakdown

glm-4.6v-flash

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

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

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

orcarouter/Qwen3.8-27B-…

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

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