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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
76 vs 71
Hardware Fit
89 vs 56
Quality Score
71 vs 78

Hardware

ministral-3:8b qwen3.5:9b
MachineMacBook AirSystem manufacturer
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM32 GB16 GB
GPUApple M4NVIDIA GeForce RTX 3060
OSmacOS 26.3Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3.5:9b
Tokens/sec19.55.3
First chunk328 ms1624 ms
TTFT328 ms1.6 s
Load time1.5 s4.0 s
Memory usage10.6 GB7.9 GB
Memory %33%50%

HW Fit Score Breakdown

ministral-3:8b

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

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

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

qwen3.5:9b

Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate 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