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glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

qwen3-5-4b-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

Global Score
65 vs 83
Hardware Fit
88 vs 100
Quality Score
55 vs 76

Hardware

glm-4.6v-flash qwen3-5-4b-q4-k-m
MachineMac StudioMac Pro
CPUApple M2 MaxIntel Core™ i5-10400
Cores1212
RAM96 GB32 GB
GPUApple M2 MaxAMD Radeon RX 6700 XT
OSmacOS 26.1macOS 26.5.1
Archarm64x64
Power Modebalancedbalanced

Performance

glm-4.6v-flash qwen3-5-4b-q4-k-m
Tokens/sec49.962.7
First chunk27 ms278 ms
TTFT3.7 s278 ms
Load time2.7 s0.0 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

glm-4.6v-flash

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

qwen3-5-4b-q4-k-m

Speed
50/50
TTFT
20/20
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

qwen3-5-4b-q4-k-m

Reasoning
14/20
Coding
15/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View glm-4.6v-flash details | View qwen3-5-4b-q4-k-m 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