Back to leaderboard

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3.5:35b-a3b-q4_K_M

OLLAMA GGUF

qwen35moe · 36.0B · Q4_K_M

Good

Jul 31, 2026 · Intel Core™ i9-14900K

Global Score
65 vs 79
Hardware Fit
88 vs 62
Quality Score
55 vs 86

Hardware

glm-4.6v-flash qwen3.5:35b-a3b-q4…
MachineMac StudioMicro-Star International Co., Ltd. MS-7D98
CPUApple M2 MaxIntel Core™ i9-14900K
Cores1232
RAM96 GB128 GB
GPUApple M2 MaxIntel(R) UHD Graphics 770, NVIDIA Quadro K4000
OSmacOS 26.1Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen3.5:35b-a3b-q4…
Tokens/sec49.916.4
First chunk27 ms787 ms
TTFT3.7 s787 ms
Load time2.7 s19.3 s
Memory usage0.0 GB21.8 GB
Memory %0%17%

HW Fit Score Breakdown

glm-4.6v-flash

Speed
50/50
TTFT
8/20
Memory
30/30

qwen3.5:35b-a3b-q4_K_M

Speed
15/50
TTFT
17/20
Memory
30/30

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

qwen3.5:35b-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

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