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
Aug 25, 2026 · Apple M1 Pro
Global Score
48 vs 72
Hardware Fit
61 vs 71
Quality Score
42 vs 72
Hardware
qwen3.5-0.8b ministral-3:8b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M1 Pro
Cores410
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500Apple M1 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.5-0.8b ministral-3:8b
Tokens/sec6.219.8
First chunk4461 ms269 ms
TTFT4.5 s269 ms
Load timeN/A10.7 s
Memory usage0.7 GB13.7 GB
Memory %4%86%
HW Fit Score Breakdown
qwen3.5-0.8b
Speed
22/50
TTFT
12/20
Memory
27/30
ministral-3:8b
Speed
44/50
TTFT
20/20
Memory
7/30
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
13/20
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