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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Qwen3-80B:80B

OLLAMA GGUF

qwen3next · 79.7B · Q4_K_M

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
65 vs 82
Hardware Fit
88 vs 59
Quality Score
55 vs 92

Hardware

glm-4.6v-flash Qwen3-80B:80B
MachineMac StudioGMKtec NucBox EVO-T2S
CPUApple M2 MaxIntel Core™ Ultra X7 358H
Cores1216
RAM96 GB64 GB
GPUApple M2 MaxIntel(R) Arc(TM) B390 GPU
OSmacOS 26.1Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash Qwen3-80B:80B
Tokens/sec49.919.6
First chunk27 ms823 ms
TTFT3.7 s823 ms
Load time2.7 s41.6 s
Memory usage0.0 GB46.9 GB
Memory %0%74%

HW Fit Score Breakdown

glm-4.6v-flash

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

Qwen3-80B:80B

Speed
26/50
TTFT
20/20
Memory
13/30

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

Qwen3-80B:80B

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View glm-4.6v-flash details | View Qwen3-80B:80B 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