winnow-12b
LM-STUDIO GGUFgemma4 · 12B · Q8_0
Nov 1, 2026 · AMD RYZEN AI MAX+ 395
qwen3-vl:4b-instruct
OLLAMA GGUFqwen3vl · 4.4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
77 vs 83
Hardware Fit
38 vs 96
Quality Score
93 vs 78
Hardware
winnow-12b qwen3-vl:4b-instruct
MachineGMKtec EVO-X3Mac Studio
CPUAMD RYZEN AI MAX+ 395Apple M2 Max
Cores3212
RAM120 GB96 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M2 Max
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.1
Archx64arm64
Power Modebalancedbalanced
Performance
winnow-12b qwen3-vl:4b-instruct
Tokens/sec12.990.6
First chunk19 ms159 ms
TTFT9.7 s159 ms
Load time86.2 s5.8 s
Memory usage51.3 GB42.5 GB
Memory %43%44%
HW Fit Score Breakdown
winnow-12b
Speed
11/50
TTFT
0/20
Memory
27/30
qwen3-vl:4b-instruct
Speed
50/50
TTFT
20/20
Memory
26/30
Quality
winnow-12b
Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
qwen3-vl:4b-instruct
Reasoning
14/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Strong 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