qwen3-1.7b
LM-STUDIO GGUFqwen3 · 1.7B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
google/gemma-3-27b
LM-STUDIO MLXgemma3 · 27B · 4bit
Mar 19, 2026 · Apple M4
Global Score
19 vs 71
Hardware Fit
64 vs 35
Quality Score
0 vs 86
Hardware
qwen3-1.7b google/gemma-3-27b
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
qwen3-1.7b google/gemma-3-27b
Tokens/sec5.95.9
First chunk2111 ms19 ms
TTFT2.1 s1.8 s
Load timeN/AN/A
Memory usage1.2 GB22.0 GB
Memory %8%92%
HW Fit Score Breakdown
qwen3-1.7b
Speed
21/50
TTFT
19/20
Memory
24/30
google/gemma-3-27b
Speed
12/50
TTFT
19/20
Memory
4/30
Quality
qwen3-1.7b
Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
google/gemma-3-27b
Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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