deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
glm4:9b
OLLAMA GGUFchatglm · 9.4B · Q4_0
Mar 6, 2026 · Apple M4
Global Score
36 vs 76
Hardware Fit
53 vs 88
Quality Score
28 vs 71
Hardware
deepseek-r1-distil… glm4:9b
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
deepseek-r1-distil… glm4:9b
Tokens/sec10.319.0
First chunk27 ms290 ms
TTFT20.7 s290 ms
Load time15.4 s0.8 s
Memory usage1.0 GB8.1 GB
Memory %4%25%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
glm4:9b
Speed
38/50
TTFT
20/20
Memory
30/30
Quality
deepseek-r1-distill-qwe…
Reasoning
3/20
Coding
6/20
Instruction
6/20
Structured
3/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Strong
glm4:9b
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
13/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest