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yi-coder:9b

OLLAMA GGUF

llama · 8.8B · Q4_0

Good

Mar 6, 2026 · Apple M4

qwen3-coder:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Jun 19, 2026 · Apple M4 Max

Global Score
70 vs 89
Hardware Fit
89 vs 96
Quality Score
62 vs 86

Hardware

yi-coder:9b qwen3-coder:30b
MachineMacBook AirMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM32 GB64 GB
GPUApple M4Apple M4 Max
OSmacOS 26.3macOS 26.5.1
Archarm64arm64
Power Modebalancedbalanced

Performance

yi-coder:9b qwen3-coder:30b
Tokens/sec19.489.9
First chunk287 ms188 ms
TTFT287 ms188 ms
Load time0.7 s4.0 s
Memory usage9.6 GB30.2 GB
Memory %30%47%

HW Fit Score Breakdown

yi-coder:9b

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

qwen3-coder:30b

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

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-coder:30b

Reasoning
14/20
Coding
19/20
Instruction
17/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View yi-coder:9b details | View qwen3-coder:30b 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