yi-coder-1.5b-chat
LM-STUDIO GGUFllama · 1.5B · Q4_K_M
Mar 7, 2026 · Intel Core™ i5-5300U
qwen3.6:35b
OLLAMA GGUFqwen35moe · 36.0B · Q4_K_M
May 25, 2026 · Apple M4 Pro
Global Score
45 vs 70
Hardware Fit
67 vs 66
Quality Score
35 vs 71
Hardware
yi-coder-1.5b-chat qwen3.6:35b
MachineLENOVO 20BUS00700MacBook Pro
CPUIntel Core™ i5-5300UApple M4 Pro
Cores414
RAM16 GB48 GB
GPUIntel(R) HD Graphics 5500Apple M4 Pro
OSMicrosoft Windows 10 Professionnel 10.0.19045macOS 26.4.1
Archx64arm64
Power Modebalancedbalanced
Performance
yi-coder-1.5b-chat qwen3.6:35b
Tokens/sec7.730.6
First chunk2668 ms304 ms
TTFT2.7 s30.0 s
Load timeN/A10.0 s
Memory usage0.9 GB28.1 GB
Memory %6%59%
HW Fit Score Breakdown
yi-coder-1.5b-chat
Speed
26/50
TTFT
17/20
Memory
24/30
qwen3.6:35b
Speed
45/50
TTFT
0/20
Memory
21/30
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
qwen3.6:35b
Reasoning
18/20
Coding
12/20
Instruction
12/20
Structured
6/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate 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