qwen3.5-0.8b
LM-STUDIO GGUFqwen35 · 0.8B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
gemma4:e4b
OLLAMA GGUFgemma4 · 8.0B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
48 vs 90
Hardware Fit
61 vs 88
Quality Score
42 vs 91
Hardware
qwen3.5-0.8b gemma4:e4b
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 gemma4:e4b
Tokens/sec6.235.6
First chunk4461 ms300 ms
TTFT4.5 s6.1 s
Load timeN/A6.1 s
Memory usage0.7 GB3.1 GB
Memory %4%19%
HW Fit Score Breakdown
qwen3.5-0.8b
Speed
22/50
TTFT
12/20
Memory
27/30
gemma4:e4b
Speed
50/50
TTFT
8/20
Memory
30/30
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
gemma4:e4b
Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
14/15
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