yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3.5-9b
LM-STUDIO GGUFqwen35 · 9B · Q4_K_M
Mar 6, 2026 · Apple M4 Pro
Global Score
45 vs 72
Hardware Fit
67 vs 89
Quality Score
35 vs 65
Hardware
yi-coder-1.5b-chat qwen3.5-9b
MachineLENOVO 20BUS00700Mac mini
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB64 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 15.7.4
Archx64arm64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat qwen3.5-9b
Tokens/sec7.728.9
First chunk2668 ms338 ms
TTFT2.7 s338 ms
Load timeN/AN/A
Memory usage0.9 GB6.1 GB
Memory %6%10%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen3.5-9b
Speed
39/50
TTFT
20/20
Memory
30/30
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
Reasoning
17/20
Coding
15/20
Instruction
6/20
Structured
7/15
Math
12/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Weak 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