qwen3.5:35b-a3b-q4_K_M
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Jul 31, 2026 · Intel Core™ i9-14900K
glm-4.6v-flash
LM-STUDIO GGUFglm4 · Q4_K_S
Apr 21, 2026 · Apple M2 Max
Global Score
79 vs 65
Hardware Fit
62 vs 88
Quality Score
86 vs 55
Hardware
qwen3.5:35b-a3b-q4… glm-4.6v-flash
MachineMicro-Star International Co., Ltd. MS-7D98Mac Studio
CPUIntel Core™ i9-14900KApple M2 Max
Cores3212
RAM128 GB96 GB
GPUIntel(R) UHD Graphics 770, NVIDIA Quadro K4000Apple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26200macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5:35b-a3b-q4… glm-4.6v-flash
Tokens/sec16.449.9
First chunk787 ms27 ms
TTFT787 ms3.7 s
Load time19.3 s2.7 s
Memory usage21.8 GB0.0 GB
Memory %17%0%
HW Fit Score Breakdown
qwen3.5:35b-a3b-q4_K_M
Speed
15/50
TTFT
17/20
Memory
30/30
glm-4.6v-flash
Speed
50/50
TTFT
8/20
Memory
30/30
Quality
qwen3.5:35b-a3b-q4_K_M
Reasoning
17/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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