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phi4-mini

OLLAMA GGUF
Not Rec.

Aug 28, 2026 · Intel Core™ i5-10210U

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
51 vs 89
Hardware Fit
46 vs 95
Quality Score
53 vs 87

Hardware

phi4-mini qwen/qwen3-8b
MachineLENOVO 20U30029MBMac mini
CPUIntel Core™ i5-10210UApple M4 Pro
Cores814
RAM15 GB64 GB
GPUCometLake-U GT2 [UHD Graphics]Apple M4 Pro
OSPop 24.04 LTSmacOS 15.7.4
Archx64arm64
Power Modeperformancebalanced

Performance

phi4-mini qwen/qwen3-8b
Tokens/sec2.633.4
First chunk5406 ms257 ms
TTFT5.4 s257 ms
Load time27.4 sN/A
Memory usage4.6 GB4.3 GB
Memory %30%7%

HW Fit Score Breakdown

phi4-mini

Speed
6/50
TTFT
10/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

phi4-mini

Reasoning
11/20
Coding
9/20
Instruction
6/20
Structured
12/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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