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yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3.5:latest

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Not Rec.

Mar 8, 2026 · Apple M4

Global Score
70 vs 34
Hardware Fit
89 vs 58
Quality Score
62 vs 23

Hardware

yi-coder:9b qwen3.5:latest
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

yi-coder:9b qwen3.5:latest
Tokens/sec19.413.3
First chunk287 ms438 ms
TTFT287 ms19.8 s
Load time0.7 s0.2 s
Memory usage9.6 GB8.0 GB
Memory %30%50%

HW Fit Score Breakdown

yi-coder:9b

Speed
39/50
TTFT
20/20
Memory
30/30

qwen3.5:latest

Speed
32/50
TTFT
1/20
Memory
25/30

Quality

yi-coder:9b

Reasoning
12/20
Coding
16/20
Instruction
13/20
Structured
7/15
Math
7/15
Multilingual
7/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Weak Math: Weak Multilingual: Adequate

qwen3.5:latest

Reasoning
6/20
Coding
1/20
Instruction
3/20
Structured
0/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Weak Multilingual: Strong

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