Back to leaderboard

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
65 vs 18
Hardware Fit
88 vs 53
Quality Score
55 vs 3

Hardware

glm-4.6v-flash qwen3.5:0.8b
MachineMac StudioLENOVO 20L7CTO1WW
CPUApple M2 MaxIntel Core™ i5-8350U
Cores128
RAM96 GB23 GB
GPUApple M2 MaxKaby Lake-R GT2 [UHD Graphics 620]
OSmacOS 26.1Fedora Linux 43
Archarm64x64
Power Modebalancedlow-power

Performance

glm-4.6v-flash qwen3.5:0.8b
Tokens/sec49.99.4
First chunk27 ms799 ms
TTFT3.7 s30.0 s
Load time2.7 s3.3 s
Memory usage0.0 GB1.9 GB
Memory %0%8%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
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

qwen3.5:0.8b

Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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