qwen3.5:2b

OLLAMA GGUF

qwen35 · 2.3B · Q8_0

Good

Mar 2, 2026 · Apple M4

yi-coder-1.5b-chat

LM-STUDIO GGUF

llama · 1.5B · Q4_K_M

Marginal

Mar 7, 2026 · Intel Core™ i5-5300U

Global Score

73 vs 45

Hardware Fit

100 vs 67

Quality Score

62 vs 35

Hardware

qwen3.5:2b yi-coder-1.5b-chat

MachineMacBook AirLENOVO 20BUS00700

CPUApple M4Intel Core™ i5-5300U

Cores104

RAM32 GB16 GB

GPUApple M4Intel(R) HD Graphics 5500

OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

qwen3.5:2b yi-coder-1.5b-chat

Tokens/sec30.47.7

First chunkN/A2668 ms

TTFT215 ms2.7 s

Load time1.8 sN/A

Memory usage4.5 GB0.9 GB

Memory %14%6%

HW Fit Score Breakdown

qwen3.5:2b

Speed

40/50

TTFT

30/20

Memory

30/30

yi-coder-1.5b-chat

Speed

26/50

TTFT

17/20

Memory

24/30

Quality

qwen3.5:2b

Reasoning

12/20

Coding

10/20

Instruction

13/20

Structured

14/15

Math

4/15

Multilingual

9/10

Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak 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 qwen3.5:2b 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