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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_M

OLLAMA GGUF

qwen35 · 27.3B · unknown

Good

Aug 21, 2026 · AMD RYZEN AI MAX+ 395

Global Score
65 vs 68
Hardware Fit
88 vs 69
Quality Score
55 vs 67

Hardware

glm-4.6v-flash hf.co/unsloth/Qwen…
MachineMac StudioAZW GTR Pro
CPUApple M2 MaxAMD RYZEN AI MAX+ 395
Cores1232
RAM96 GB125 GB
GPUApple M2 MaxRadeon 8060S
OSmacOS 26.1Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power

Performance

glm-4.6v-flash hf.co/unsloth/Qwen…
Tokens/sec49.921.1
First chunk27 ms571 ms
TTFT3.7 s571 ms
Load time2.7 s4.9 s
Memory usage0.0 GB22.7 GB
Memory %0%18%

HW Fit Score Breakdown

glm-4.6v-flash

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

hf.co/unsloth/Qwen3.8-2…

Speed
20/50
TTFT
19/20
Memory
30/30

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

hf.co/unsloth/Qwen3.8-2…

Reasoning
12/20
Coding
10/20
Instruction
10/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate 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