ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
qwen3.5:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-14600KF
Global Score
79 vs 77
Hardware Fit
98 vs 53
Quality Score
71 vs 87
Hardware
ministral-3:8b qwen3.5:35b
MachineMac miniASUS
CPUApple M4 ProIntel Core™ i5-14600KF
Cores1220
RAM24 GB32 GB
GPUApple M4 ProNVIDIA GeForce RTX 4070 Ti SUPER
OSmacOS 15.6.1Microsoft Windows 11 Famille 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
ministral-3:8b qwen3.5:35b
Tokens/sec41.416.0
First chunk257 ms719 ms
TTFT257 ms719 ms
Load time5.2 s17.8 s
Memory usage9.0 GB25.0 GB
Memory %38%79%
HW Fit Score Breakdown
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
qwen3.5:35b
Speed
23/50
TTFT
20/20
Memory
10/30
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
qwen3.5:35b
Reasoning
17/20
Coding
18/20
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest