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qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Good

Mar 7, 2026 · AMD Ryzen 5 5500

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

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

Hardware

qwen3.5:9b yi-coder-1.5b-chat
MachineSystem manufacturerLENOVO 20BUS00700
CPUAMD Ryzen 5 5500Intel Core™ i5-5300U
Cores124
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060Intel(R) HD Graphics 5500
OSMicrosoft Windows 11 IoT Enterprise LTSC 10.0.26100Microsoft Windows 10 Professionnel 10.0.19045
Archx64x64
Power Modebalancedbalanced

Performance

qwen3.5:9b yi-coder-1.5b-chat
Tokens/sec5.37.7
First chunk1624 ms2668 ms
TTFT1.6 s2.7 s
Load time4.0 sN/A
Memory usage7.9 GB0.9 GB
Memory %50%6%

HW Fit Score Breakdown

qwen3.5:9b

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

yi-coder-1.5b-chat

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

Quality

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

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
View qwen3.5:9b details | View yi-coder-1.5b-chat 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