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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3.8-27b-claude-opus-reasoning-distilled

LM-STUDIO GGUF

qwen35 · 27B · Q4_K_M

Excellent

Aug 20, 2026 · Apple M4 Max

Global Score
65 vs 80
Hardware Fit
88 vs 63
Quality Score
55 vs 87

Hardware

glm-4.6v-flash qwen3.8-27b-claude…
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M4 Max
Cores1216
RAM96 GB128 GB
GPUApple M2 MaxApple M4 Max
OSmacOS 26.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen3.8-27b-claude…
Tokens/sec49.924.0
First chunk27 ms20 ms
TTFT3.7 s4.5 s
Load time2.7 sN/A
Memory usage0.0 GB15.7 GB
Memory %0%12%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen3.8-27b-claude-opus…

Speed
27/50
TTFT
6/20
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

qwen3.8-27b-claude-opus…

Reasoning
19/20
Coding
18/20
Instruction
11/20
Structured
15/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate 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