yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3.5-9b-mlx
LM-STUDIO MLXqwen3_5 · 9B · 4bit
Mar 11, 2026 · Apple M4
Global Score
45 vs 58
Hardware Fit
67 vs 68
Quality Score
35 vs 54
Hardware
yi-coder-1.5b-chat 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
yi-coder-1.5b-chat qwen3.5-9b-mlx
Tokens/sec7.716.7
First chunk2668 ms23 ms
TTFT2.7 s14.1 s
Load timeN/AN/A
Memory usage0.9 GB7.8 GB
Memory %6%33%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen3.5-9b-mlx
Speed
36/50
TTFT
3/20
Memory
29/30
Quality
yi-coder-1.5b-chat
Reasoning
4/20
Coding
12/20
Instruction
6/20
Structured
6/15
Math
1/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Weak Math: Poor Multilingual: Adequate
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