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

Marginal

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score

76 vs 57

Hardware Fit

89 vs 61

Quality Score

71 vs 55

Hardware

ministral-3:8b qwen3.5:9b

MachineMacBook AirAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395

Cores1032

RAM32 GB125 GB

GPUApple M4AMD Radeon 8060S

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedlow-power

Performance

ministral-3:8b qwen3.5:9b

Tokens/sec19.530.3

First chunk328 ms205 ms

TTFT328 ms8.7 s

Load time1.5 s5.6 s

Memory usage10.6 GB18.8 GB

Memory %33%15%

HW Fit Score Breakdown

ministral-3:8b

Speed

39/50

TTFT

20/20

Memory

30/30

qwen3.5:9b

Speed

30/50

TTFT

1/20

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

qwen3.5:9b

Reasoning

17/20

Coding

2/20

Instruction

7/20

Structured

8/15

Math

12/15

Multilingual

9/10

Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong

View ministral-3:8b details | View qwen3.5:9b 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