Back to leaderboard

qwen3-4b-qwen3.6-plus-reasoning-distilled

LM-STUDIO GGUF

qwen3 · 4B · Q4_1

Good

Apr 21, 2026 · Apple M2 Max

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
96 vs 88
Quality Score
51 vs 55

Hardware

qwen3-4b-qwen3.6-p… glm-4.6v-flash
MachineMac StudioMac Studio
CPUApple M2 MaxApple M2 Max
Cores1212
RAM96 GB96 GB
GPUApple M2 MaxApple M2 Max
OSmacOS 26.1macOS 26.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3-4b-qwen3.6-p… glm-4.6v-flash
Tokens/sec99.649.9
First chunk18 ms27 ms
TTFT1.6 s3.7 s
Load time4.8 s2.7 s
Memory usage0.3 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

qwen3-4b-qwen3.6-plus-r…

Speed
50/50
TTFT
16/20
Memory
30/30

glm-4.6v-flash

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

Quality

qwen3-4b-qwen3.6-plus-r…

Reasoning
8/20
Coding
4/20
Instruction
14/20
Structured
9/15
Math
8/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

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 qwen3-4b-qwen3.6-p… 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