yi-coder:9b
OLLAMA GGUFllama · 8.8B · Q4_0
Mar 6, 2026 · Apple M4
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ Ultra X7 358H
Global Score
70 vs 67
Hardware Fit
89 vs 51
Quality Score
62 vs 74
Hardware
yi-coder:9b qwen2-57b:57B
MachineMacBook AirGMKtec NucBox EVO-T2S
CPUApple M4Intel Core™ Ultra X7 358H
Cores1016
RAM32 GB64 GB
GPUApple M4Intel(R) Arc(TM) B390 GPU
OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
yi-coder:9b qwen2-57b:57B
Tokens/sec19.48.6
First chunk287 ms1573 ms
TTFT287 ms1.6 s
Load time0.7 s29.0 s
Memory usage9.6 GB32.8 GB
Memory %30%52%
HW Fit Score Breakdown
yi-coder:9b
Speed
39/50
TTFT
20/20
Memory
30/30
qwen2-57b:57B
Speed
10/50
TTFT
17/20
Memory
24/30
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
qwen2-57b:57B
Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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