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qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q4_K_S

Not Rec.

Apr 20, 2026 · Apple M2 Max

glm-4.7-flash:q4_K_M

OLLAMA GGUF

glm4moelite · 29.9B · Q4_K_M

Excellent

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/sec55.235.1
First chunk4 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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest