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qwen3-coder:30b-a3b-q8_0

OLLAMA GGUF

qwen3moe · 30.5B · Q8_0

Good

Jun 18, 2026 · AMD Ryzen 5 5500U

smollm2-1.7b-instruct

LM-STUDIO MLX

llama · 1.7B · bf16

Good

Mar 4, 2026 · Apple M4

Global Score
78 vs 65
Hardware Fit
54 vs 99
Quality Score
88 vs 51

Hardware

qwen3-coder:30b-a3… smollm2-1.7b-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-a3… smollm2-1.7b-instr…
Tokens/sec8.028.5
First chunk1468 ms393 ms
TTFT1.5 s393 ms
Load time114.5 sN/A
Memory usage33.5 GB3.2 GB
Memory %53%10%

HW Fit Score Breakdown

qwen3-coder:30b-a3b-q8_0

Speed
11/50
TTFT
19/20
Memory
24/30

smollm2-1.7b-instruct

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

Quality

qwen3-coder:30b-a3b-q8_0

Reasoning
17/20
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: Adequate Multilingual: Strong

smollm2-1.7b-instruct

Reasoning
10/20
Coding
10/20
Instruction
13/20
Structured
11/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3-coder:30b-a3… details | View smollm2-1.7b-instr… details

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