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yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
70 vs 50
Hardware Fit
89 vs 97
Quality Score
62 vs 30

Hardware

yi-coder:9b gemma3:270m
MachineMacBook AirMacBook Pro
CPUApple M4Apple M3 Pro
Cores1012
RAM32 GB36 GB
GPUApple M4Apple M3 Pro
OSmacOS 26.3macOS 15.7.5
Archarm64arm64
Power Modebalancedbalanced

Performance

yi-coder:9b gemma3:270m
Tokens/sec19.4239.2
First chunk287 ms127 ms
TTFT287 ms127 ms
Load time0.7 s0.7 s
Memory usage9.6 GB0.6 GB
Memory %30%2%

HW Fit Score Breakdown

yi-coder:9b

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

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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