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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3.5-0.8b

LM-STUDIO GGUF

qwen35 · 0.8B · Q4_K_M

Marginal

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
65 vs 48
Hardware Fit
88 vs 61
Quality Score
55 vs 42

Hardware

glm-4.6v-flash qwen3.5-0.8b
MachineMac StudioLENOVO 20BUS00700
CPUApple M2 MaxIntel Core™ i5-5300U
Cores124
RAM96 GB16 GB
GPUApple M2 MaxIntel(R) HD Graphics 5500
OSmacOS 26.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen3.5-0.8b
Tokens/sec49.96.2
First chunk27 ms4461 ms
TTFT3.7 s4.5 s
Load time2.7 sN/A
Memory usage0.0 GB0.7 GB
Memory %0%4%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen3.5-0.8b

Speed
22/50
TTFT
12/20
Memory
27/30

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

qwen3.5-0.8b

Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View glm-4.6v-flash details | View qwen3.5-0.8b details

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