Back to leaderboard

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 18, 2026 · AMD Ryzen 5 5500U

smollm2-360m-instruct

LM-STUDIO MLX

llama · 360M · bf16

Marginal

Mar 4, 2026 · Apple M4

Global Score
82 vs 52
Hardware Fit
71 vs 100
Quality Score
87 vs 32

Hardware

qwen3-coder:30b smollm2-360m-instr…
MachineHP HP Pavilion Laptop 15-eh1xxxMacBook Air
CPUAMD Ryzen 5 5500UApple M4
Cores1210
RAM63 GB32 GB
GPUAMD Radeon(TM) GraphicsApple M4
OSMicrosoft Windows 10 Enterprise LTSC 10.0.19044macOS 26.3
Archx64arm64
Power Modebalancedbalanced

Performance

qwen3-coder:30b smollm2-360m-instr…
Tokens/sec14.3121.1
First chunk869 ms106 ms
TTFT869 ms106 ms
Load time0.3 sN/A
Memory usage20.5 GB0.7 GB
Memory %32%2%

HW Fit Score Breakdown

qwen3-coder:30b

Speed
22/50
TTFT
20/20
Memory
29/30

smollm2-360m-instruct

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

Quality

qwen3-coder: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

smollm2-360m-instruct

Reasoning
4/20
Coding
3/20
Instruction
12/20
Structured
7/15
Math
2/15
Multilingual
4/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Weak Math: Poor Multilingual: Weak

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