deepseek-r1-distill-qwen-14b-mlx
LM-STUDIO MLXqwen2 · 14B · 5bit
Mar 11, 2026 · Apple M4
lmstudio-community/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_0
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Global Score
36 vs 77
Hardware Fit
53 vs 68
Quality Score
28 vs 81
Hardware
deepseek-r1-distil… lmstudio-community…
MachineMac miniDocker Container
CPUApple M4Intel Gen Intel® Core™ i9-11900H
Cores1016
RAM24 GB15 GB
GPUApple M4TigerLake-H GT1 [UHD Graphics]
OSmacOS 26.3Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance
Performance
deepseek-r1-distil… lmstudio-community…
Tokens/sec10.311.4
First chunk27 ms28 ms
TTFT20.7 s2.2 s
Load time15.4 s6.8 s
Memory usage1.0 GB0.6 GB
Memory %4%4%
HW Fit Score Breakdown
deepseek-r1-distill-qwe…
Speed
23/50
TTFT
0/20
Memory
30/30
lmstudio-community/gemm…
Speed
21/50
TTFT
17/20
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
lmstudio-community/gemm…
Reasoning
14/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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