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yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

Global Score
45 vs 71
Hardware Fit
67 vs 56
Quality Score
35 vs 78

Hardware

yi-coder-1.5b-chat qwen3.5:9b
MachineLENOVO 20BUS00700System manufacturer
CPUIntel Core™ i5-5300UAMD Ryzen 5 5500
Cores412
RAM16 GB16 GB
GPUIntel(R) HD Graphics 5500NVIDIA GeForce RTX 3060
OSMicrosoft Windows 10 Professionnel 10.0.19045Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

yi-coder-1.5b-chat qwen3.5:9b
Tokens/sec7.75.3
First chunk2668 ms1624 ms
TTFT2.7 s1.6 s
Load timeN/A4.0 s
Memory usage0.9 GB7.9 GB
Memory %6%50%

HW Fit Score Breakdown

yi-coder-1.5b-chat

Speed
26/50
TTFT
17/20
Memory
24/30

qwen3.5:9b

Speed
11/50
TTFT
20/20
Memory
25/30

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
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder-1.5b-chat details | View qwen3.5:9b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest