Back to leaderboard

microsoft/phi-4-mini-reasoning

LM-STUDIO MLX

phi3 · 3.8B · 4bit

Good

Mar 3, 2026 · Apple M4

prism-ml/bonsai-27b

LM-STUDIO GGUF

qwen35 · 27B · Q1_0

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
62 vs 81
Hardware Fit
99 vs 95
Quality Score
46 vs 75

Hardware

microsoft/phi-4-mi… prism-ml/bonsai-27b
MachineMacBook AirASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M4AMD Ryzen 9 8940HX
Cores1032
RAM32 GB15 GB
GPUApple M4NVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.3Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

microsoft/phi-4-mi… prism-ml/bonsai-27b
Tokens/sec40.333.6
First chunk289 ms20 ms
TTFT289 ms409 ms
Load timeN/AN/A
Memory usage2.0 GB5.3 GB
Memory %6%35%

HW Fit Score Breakdown

microsoft/phi-4-mini-re…

Speed
50/50
TTFT
20/20
Memory
29/30

prism-ml/bonsai-27b

Speed
46/50
TTFT
20/20
Memory
29/30

Quality

microsoft/phi-4-mini-re…

Reasoning
7/20
Coding
6/20
Instruction
7/20
Structured
7/15
Math
12/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

prism-ml/bonsai-27b

Reasoning
17/20
Coding
13/20
Instruction
13/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate 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