Back to leaderboard

smollm2-360m-instruct

LM-STUDIO GGUF

llama · 360M · Q4_K_M

Marginal

Mar 5, 2026 · Intel Core™ i5-5300U

phi4-mini:latest

OLLAMA GGUF

phi3 · 3.8B · Q4_K_M

Good

Jun 26, 2026 · Cortex-A78AE

Global Score
48 vs 74
Hardware Fit
98 vs 98
Quality Score
26 vs 63

Hardware

smollm2-360m-instr… phi4-mini:latest
MachineLENOVO 20BUS00700NVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Core™ i5-5300UCortex-A78AE
Cores46
RAM16 GB7 GB
GPUIntel(R) HD Graphics 5500Integrated / Unknown
OSMicrosoft Windows 10 Professionnel 10.0.19045Ubuntu 22.04.5 LTS
Archx64arm64
Power Modebalancedbalanced

Performance

smollm2-360m-instr… phi4-mini:latest
Tokens/sec20.018.4
First chunk1116 ms1078 ms
TTFT1.1 s1.1 s
Load timeN/A6.4 s
Memory usage0.3 GB2.9 GB
Memory %2%39%

HW Fit Score Breakdown

smollm2-360m-instruct

Speed
50/50
TTFT
20/20
Memory
28/30

phi4-mini:latest

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

smollm2-360m-instruct

Reasoning
3/20
Coding
1/20
Instruction
8/20
Structured
8/15
Math
3/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Weak

phi4-mini:latest

Reasoning
13/20
Coding
11/20
Instruction
14/20
Structured
11/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Adequate 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