qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Apr 29, 2026 · Intel Core™ i5-8350U
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
18 vs 79
Hardware Fit
53 vs 98
Quality Score
3 vs 71
Hardware
qwen3.5:0.8b ministral-3:8b
MachineLENOVO 20L7CTO1WWMac mini
CPUIntel Core™ i5-8350UApple M4 Pro
Cores812
RAM23 GB24 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro
OSFedora Linux 43macOS 15.6.1
Archx64arm64
Power Modelow-powerbalanced
Performance
qwen3.5:0.8b ministral-3:8b
Tokens/sec9.441.4
First chunk799 ms257 ms
TTFT30.0 s257 ms
Load time3.3 s5.2 s
Memory usage1.9 GB9.0 GB
Memory %8%38%
HW Fit Score Breakdown
qwen3.5:0.8b
Speed
23/50
TTFT
0/20
Memory
30/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5:0.8b
Reasoning
0/20
Coding
0/20
Instruction
2/20
Structured
0/15
Math
0/15
Multilingual
1/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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
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