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phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

granite3.1-dense:2b

OLLAMA GGUF

granite · 2.5B · Q4_K_M

Good

Mar 2, 2026 · Apple M4

Global Score
55 vs 68
Hardware Fit
100 vs 100
Quality Score
36 vs 54

Hardware

phi-3.5-mini-instr… granite3.1-dense:2b
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:2b
Tokens/sec43.454.6
First chunk359 msN/A
TTFT359 ms121 ms
Load timeN/A0.4 s
Memory usage2.0 GB5.6 GB
Memory %6%18%

HW Fit Score Breakdown

phi-3.5-mini-instruct

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

granite3.1-dense:2b

Speed
40/50
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:2b

Reasoning
8/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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