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phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

Qwen3-30B:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

Global Score
55 vs 88
Hardware Fit
100 vs 91
Quality Score
36 vs 87

Hardware

phi-3.5-mini-instr… Qwen3-30B:30b
MachineMacBook AirHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUApple M4AMD Ryzen 9 9955HX3D 16-Core Processor
Cores1032
RAM32 GB31 GB
GPUApple M4AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSmacOS 26.3Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

phi-3.5-mini-instr… Qwen3-30B:30b
Tokens/sec43.442.8
First chunk359 ms434 ms
TTFT359 ms434 ms
Load timeN/A19.9 s
Memory usage2.0 GB17.9 GB
Memory %6%58%

HW Fit Score Breakdown

phi-3.5-mini-instruct

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

Qwen3-30B:30b

Speed
50/50
TTFT
20/20
Memory
21/30

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

Qwen3-30B:30b

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View phi-3.5-mini-instr… details | View Qwen3-30B:30b details

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