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phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

granite3.1-dense:8b

OLLAMA GGUF

granite · 8.2B · Q4_K_M

Good

Mar 1, 2026 · Apple M4

Global Score
55 vs 74
Hardware Fit
100 vs 91
Quality Score
36 vs 66

Hardware

phi-3.5-mini-instr… granite3.1-dense:8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

phi-3.5-mini-instr… granite3.1-dense:8b
Tokens/sec43.418.8
First chunk359 msN/A
TTFT359 ms308 ms
Load timeN/A0.6 s
Memory usage2.0 GB13.0 GB
Memory %6%41%

HW Fit Score Breakdown

phi-3.5-mini-instruct

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

granite3.1-dense:8b

Speed
31/50
TTFT
30/20
Memory
30/30

Quality

phi-3.5-mini-instruct

Reasoning
11/20
Coding
4/20
Instruction
7/20
Structured
1/15
Math
7/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Adequate

granite3.1-dense:8b

Reasoning
12/20
Coding
11/20
Instruction
15/20
Structured
14/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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