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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen/qwen3-vl-30b

LM-STUDIO GGUF

qwen3vlmoe · 30B · Q4_K_M

Excellent

Apr 24, 2026 · AMD Ryzen 5 5500

Global Score
76 vs 92
Hardware Fit
89 vs 95
Quality Score
71 vs 90

Hardware

ministral-3:8b qwen/qwen3-vl-30b
MachineMacBook AirASUS
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB31 GB
GPUApple M4Navi 44 [Radeon RX 9060 XT]
OSmacOS 26.3Nobara Linux 43
Archarm64x64
Power Modebalancedperformance

Performance

ministral-3:8b qwen/qwen3-vl-30b
Tokens/sec19.524.8
First chunk328 ms11 ms
TTFT328 ms735 ms
Load time1.5 s11.7 s
Memory usage10.6 GB0.6 GB
Memory %33%2%

HW Fit Score Breakdown

ministral-3:8b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen/qwen3-vl-30b

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

Quality

ministral-3:8b

Reasoning
12/20
Coding
18/20
Instruction
12/20
Structured
13/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

qwen/qwen3-vl-30b

Reasoning
19/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View ministral-3:8b details | View qwen/qwen3-vl-30b 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