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winnow-12b

LM-STUDIO GGUF

gemma4 · 12B · Q8_0

Good

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

granite4.2:3b

OLLAMA GGUF

granite · 3.7B · Q4_K_M

Excellent

Aug 29, 2026 · Apple M1 Pro

Global Score
77 vs 80
Hardware Fit
38 vs 80
Quality Score
93 vs 80

Hardware

winnow-12b granite4.2:3b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB16 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

winnow-12b granite4.2:3b
Tokens/sec12.946.8
First chunk19 ms135 ms
TTFT9.7 s135 ms
Load time86.2 s0.0 s
Memory usage51.3 GB12.7 GB
Memory %43%79%

HW Fit Score Breakdown

winnow-12b

Speed
11/50
TTFT
0/20
Memory
27/30

granite4.2:3b

Speed
50/50
TTFT
20/20
Memory
10/30

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

granite4.2:3b

Reasoning
18/20
Coding
13/20
Instruction
12/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong

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