glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
qwen3.6-35b-a3b-claude-4.7-opus-reasoning-distilled-apex
LM-STUDIO GGUFqwen35moe · 35B
Jul 17, 2026 · Apple M5 Max
Global Score
65 vs 90
Hardware Fit
88 vs 98
Quality Score
55 vs 86
Hardware
glm-4.6v-flash qwen3.6-35b-a3b-cl…
MachineMac StudioMacBook Pro
CPUApple M2 MaxApple M5 Max
Cores1218
RAM96 GB64 GB
GPUApple M2 MaxApple M5 Max
OSmacOS 26.1macOS 27.0
Archarm64arm64
Power Modebalancedbalanced
Performance
glm-4.6v-flash qwen3.6-35b-a3b-cl…
Tokens/sec49.986.6
First chunk27 ms13 ms
TTFT3.7 s143 ms
Load time2.7 sN/A
Memory usage0.0 GB23.9 GB
Memory %0%37%
HW Fit Score Breakdown
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
qwen3.6-35b-a3b-claude-…
Speed
50/50
TTFT
20/20
Memory
28/30
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
qwen3.6-35b-a3b-claude-…
Reasoning
18/20
Coding
17/20
Instruction
14/20
Structured
15/15
Math
12/15
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest