mlx-community/meta-llama-3.1-8b-instruct
LM-STUDIO MLXllama · 8B · 4bit
Mar 5, 2026 · Apple M4 Pro
phi-3-mini-128k-instruct
LM-STUDIO MLXphi3 · 4bit
Mar 4, 2026 · Apple M4
Global Score
77 vs 38
Hardware Fit
100 vs 100
Quality Score
67 vs 12
Hardware
mlx-community/meta… phi-3-mini-128k-in…
MachineMac miniMacBook Air
CPUApple M4 ProApple M4
Cores1410
RAM64 GB32 GB
GPUApple M4 ProApple M4
OSmacOS 15.7.4macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/meta… phi-3-mini-128k-in…
Tokens/sec54.344.0
First chunk277 ms384 ms
TTFT277 ms385 ms
Load timeN/AN/A
Memory usage4.2 GB2.0 GB
Memory %7%6%
HW Fit Score Breakdown
mlx-community/meta-llam…
Speed
50/50
TTFT
20/20
Memory
30/30
phi-3-mini-128k-instruct
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/meta-llam…
Reasoning
11/20
Coding
14/20
Instruction
14/20
Structured
15/15
Math
4/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
phi-3-mini-128k-instruct
Reasoning
3/20
Coding
2/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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