qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
glm-4.7-flash:q4_K_M
OLLAMA GGUFglm4moelite · 29.9B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
82 vs 81
Hardware Fit
80 vs 89
Quality Score
83 vs 77
Hardware
qwen3.6-35b-a3b glm-4.7-flash:q4_K_M
MachineMac StudioASUS
CPUApple M2 MaxIntel Core™ i5-14600KF
Cores1220
RAM96 GB32 GB
GPUApple M2 MaxNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 26.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.6-35b-a3b glm-4.7-flash:q4_K_M
Tokens/sec54.735.1
First chunk32 ms440 ms
TTFT30.0 s440 ms
Load timeN/A11.6 s
Memory usage30.3 GB18.4 GB
Memory %32%58%
HW Fit Score Breakdown
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
Memory
30/30
glm-4.7-flash:q4_K_M
Speed
49/50
TTFT
20/20
Memory
20/30
Quality
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
glm-4.7-flash:q4_K_M
Reasoning
13/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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