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ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Jun 25, 2026 · Apple M4 Pro

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score
79 vs 85
Hardware Fit
98 vs 95
Quality Score
71 vs 80

Hardware

ministral-3:8b qwen3.5:9b
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Max
Cores1210
RAM24 GB32 GB
GPUApple M4 ProApple M1 Max
OSmacOS 15.6.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

ministral-3:8b qwen3.5:9b
Tokens/sec41.423.1
First chunk257 ms358 ms
TTFT257 ms358 ms
Load time5.2 s3.6 s
Memory usage9.0 GB9.1 GB
Memory %38%28%

HW Fit Score Breakdown

ministral-3:8b

Speed
50/50
TTFT
20/20
Memory
28/30

qwen3.5:9b

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

qwen3.5:9b

Reasoning
14/20
Coding
16/20
Instruction
15/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong 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