yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

70 vs 76

Hardware Fit

89 vs 51

Quality Score

62 vs 87

Hardware

yi-coder:9b gemma-3-27b-it-qat

MachineMacBook AirMac mini

CPUApple M4Apple M4 Pro

Cores1014

RAM32 GB64 GB

GPUApple M4Apple M4 Pro

OSmacOS 26.3macOS 15.7.4

Archarm64arm64

Power Modebalancedbalanced

Performance

yi-coder:9b gemma-3-27b-it-qat

Tokens/sec19.48.9

First chunk287 ms3976 ms

TTFT287 ms4.0 s

Load time0.7 sN/A

Memory usage9.6 GB15.7 GB

Memory %30%25%

HW Fit Score Breakdown

yi-coder:9b

Speed

39/50

TTFT

20/20

Memory

30/30

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

Memory

30/30

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

gemma-3-27b-it-qat

Reasoning

16/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

11/15

Multilingual

10/10

Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

View yi-coder:9b details | View gemma-3-27b-it-qat 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