rnj-1:8b
OLLAMA GGUFgemma3 · 8.3B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
yi-coder:9b
OLLAMA GGUFllama · 8.8B · Q4_0
Mar 6, 2026 · Apple M4
Global Score
80 vs 70
Hardware Fit
93 vs 89
Quality Score
74 vs 62
Hardware
rnj-1:8b yi-coder:9b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
rnj-1:8b yi-coder:9b
Tokens/sec22.319.4
First chunk404 ms287 ms
TTFT404 ms287 ms
Load time3.7 s0.7 s
Memory usage8.3 GB9.6 GB
Memory %52%30%
HW Fit Score Breakdown
rnj-1:8b
Speed
49/50
TTFT
20/20
Memory
24/30
yi-coder:9b
Speed
39/50
TTFT
20/20
Memory
30/30
Quality
rnj-1:8b
Reasoning
12/20
Coding
19/20
Instruction
15/20
Structured
5/15
Math
14/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Weak Math: Strong Multilingual: Strong
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest