qwen3.5-0.8b
LM-STUDIO GGUFqwen35 · 0.8B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
ministral-3:8b
OLLAMA GGUFmistral3 · 8.9B · Q4_K_M
Jun 25, 2026 · Apple M4 Pro
Global Score
48 vs 79
Hardware Fit
61 vs 98
Quality Score
42 vs 71
Hardware
qwen3.5-0.8b ministral-3:8b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores412
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b ministral-3:8b
Tokens/sec6.241.4
First chunk4461 ms257 ms
TTFT4.5 s257 ms
Load timeN/A5.2 s
Memory usage0.7 GB9.0 GB
Memory %4%38%
HW Fit Score Breakdown
qwen3.5-0.8b
Speed
22/50
TTFT
12/20
Memory
27/30
ministral-3:8b
Speed
50/50
TTFT
20/20
Memory
28/30
Quality
qwen3.5-0.8b
Reasoning
10/20
Coding
2/20
Instruction
10/20
Structured
12/15
Math
2/15
Multilingual
6/10
Reasoning: Adequate Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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