qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
77 vs 65
Hardware Fit
53 vs 88
Quality Score
87 vs 55
Hardware
qwen3.5:35b glm-4.6v-flash
MachineASUSMac Studio
CPUIntel Core™ i5-14600KFApple M2 Max
Cores2012
RAM32 GB96 GB
GPUNVIDIA GeForce RTX 4070 Ti SUPERApple M2 Max
OSMicrosoft Windows 11 Famille 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:35b glm-4.6v-flash
Tokens/sec16.049.9
First chunk719 ms27 ms
TTFT719 ms3.7 s
Load time17.8 s2.7 s
Memory usage25.0 GB0.0 GB
Memory %79%0%
HW Fit Score Breakdown
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.5:35b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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
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