Back to leaderboard

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

ministral-3:3b

OLLAMA GGUF

mistral3 · 3.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
28 vs 71
Hardware Fit
66 vs 99
Quality Score
11 vs 59

Hardware

phi-1_5 ministral-3:3b
MachineLENOVO 20BUS00700MacBook Air
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB32 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

phi-1_5 ministral-3:3b
Tokens/sec6.942.2
First chunk3040 ms189 ms
TTFT3.0 s189 ms
Load timeN/A1.2 s
Memory usage1.4 GB7.0 GB
Memory %9%22%

HW Fit Score Breakdown

phi-1_5

Speed
24/50
TTFT
16/20
Memory
26/30

ministral-3:3b

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

Quality

phi-1_5

Reasoning
2/20
Coding
2/20
Instruction
3/20
Structured
0/15
Math
2/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

ministral-3:3b

Reasoning
5/20
Coding
16/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
9/10
Reasoning: Weak Coding: Strong Instruction Following: Adequate 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