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qwen3.5:0.8b

OLLAMA GGUF

qwen35 · 873.44M · Q8_0

Good

Mar 2, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score
65 vs 65
Hardware Fit
99 vs 88
Quality Score
51 vs 55

Hardware

qwen3.5:0.8b glm-4.6v-flash
MachineMacBook AirMac Studio
CPUApple M4Apple M2 Max
Cores1012
RAM32 GB96 GB
GPUApple M4Apple M2 Max
OSmacOS 26.3macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5:0.8b glm-4.6v-flash
Tokens/sec48.249.9
First chunkN/A27 ms
TTFT195 ms3.7 s
Load time1.0 s2.7 s
Memory usage2.5 GB0.0 GB
Memory %8%0%

HW Fit Score Breakdown

qwen3.5:0.8b

Speed
40/50
TTFT
30/20
Memory
29/30

glm-4.6v-flash

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

Quality

qwen3.5:0.8b

Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate

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
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest