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qwen3:30b-a3b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 25, 2026 · Cortex-X925

qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

Global Score
84 vs 89
Hardware Fit
93 vs 95
Quality Score
80 vs 87

Hardware

qwen3:30b-a3b qwen/qwen3-8b
MachineNVIDIA NVIDIA_DGX_SparkMac mini
CPUCortex-X925Apple M4 Pro
Cores2014
RAM122 GB64 GB
GPUDevice 2e12Apple M4 Pro
OSUbuntu 24.04.4 LTSmacOS 15.7.4
Archarm64arm64
Power Modeperformancebalanced

Performance

qwen3:30b-a3b qwen/qwen3-8b
Tokens/sec92.733.4
First chunk286 ms257 ms
TTFT1.5 s257 ms
Load time15.3 sN/A
Memory usage20.3 GB4.3 GB
Memory %17%7%

HW Fit Score Breakdown

qwen3:30b-a3b

Speed
50/50
TTFT
13/20
Memory
30/30

qwen/qwen3-8b

Speed
45/50
TTFT
20/20
Memory
30/30

Quality

qwen3:30b-a3b

Reasoning
16/20
Coding
10/20
Instruction
18/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

qwen/qwen3-8b

Reasoning
19/20
Coding
14/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3:30b-a3b details | View qwen/qwen3-8b 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