gemma-3-1b-it
LM-STUDIO GGUFgemma3 · 1B · Q4_K_M
Mar 5, 2026 · Intel Core™ i5-5300U
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
59 vs 58
Hardware Fit
76 vs 68
Quality Score
52 vs 54
Hardware
gemma-3-1b-it qwen3.5-9b-mlx
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4
Cores410
RAM16 GB24 GB
GPUIntel(R) HD Graphics 5500Apple M4
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.3
Archx64arm64
Power Modebalancedbalanced
Performance
gemma-3-1b-it qwen3.5-9b-mlx
Tokens/sec8.716.7
First chunk2078 ms23 ms
TTFT2.1 s14.1 s
Load timeN/AN/A
Memory usage0.8 GB7.8 GB
Memory %5%33%
HW Fit Score Breakdown
gemma-3-1b-it
Speed
29/50
TTFT
19/20
Memory
28/30
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
Quality
gemma-3-1b-it
Reasoning
4/20
Coding
11/20
Instruction
14/20
Structured
13/15
Math
2/15
Multilingual
8/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
qwen3.5-9b-mlx
Reasoning
10/20
Coding
16/20
Instruction
4/20
Structured
9/15
Math
10/15
Multilingual
5/10
Reasoning: Adequate Coding: Strong Instruction Following: Poor Structured Output: Adequate Math: Adequate Multilingual: Adequate
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