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winnow-12b

LM-STUDIO GGUF

gemma4 · 12B · Q8_0

Good

Nov 1, 2026 · AMD RYZEN AI MAX+ 395

qwen3.6-35b-a3b

LM-STUDIO GGUF

qwen35moe · 35B · Q3_K_S

Excellent

Oct 20, 2026 · Apple M1 Pro

Global Score
77 vs 89
Hardware Fit
38 vs 90
Quality Score
93 vs 88

Hardware

winnow-12b qwen3.6-35b-a3b
MachineGMKtec EVO-X3MacBook Pro
CPUAMD RYZEN AI MAX+ 395Apple M1 Pro
Cores3210
RAM120 GB32 GB
GPUAMD Radeon(TM) 8060S GraphicsApple M1 Pro
OSMicrosoft Windows 11 Pro 10.0.26300macOS 15.6.1
Archx64arm64
Power Modebalancedbalanced

Performance

winnow-12b qwen3.6-35b-a3b
Tokens/sec12.939.1
First chunk19 ms33 ms
TTFT9.7 s319 ms
Load time86.2 sN/A
Memory usage51.3 GB19.0 GB
Memory %43%60%

HW Fit Score Breakdown

winnow-12b

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

qwen3.6-35b-a3b

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

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

qwen3.6-35b-a3b

Reasoning
16/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong 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