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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

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

Hardware

qwen3.5:0.8b glm-4.6v-flash
MachineLENOVO 20L7CTO1WWMac Studio
CPUIntel Core™ i5-8350UApple M2 Max
Cores812
RAM23 GB96 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M2 Max
OSFedora Linux 43macOS 26.1
Archx64arm64
Power Modelow-powerbalanced

Performance

qwen3.5:0.8b glm-4.6v-flash
Tokens/sec9.449.9
First chunk799 ms27 ms
TTFT30.0 s3.7 s
Load time3.3 s2.7 s
Memory usage1.9 GB0.0 GB
Memory %8%0%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
23/50
TTFT
0/20
Memory
30/30

glm-4.6v-flash

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

Quality

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

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
View qwen3.5:0.8b details | View glm-4.6v-flash 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