qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
text-embedding-nomic-embed-text-v1.5
LM-STUDIO GGUFnomic-bert · Q4_K_M
Mar 3, 2026 · Apple M4
Global Score
82 vs 59
Hardware Fit
80 vs 94
Quality Score
83 vs 44
Hardware
qwen3.6-35b-a3b text-embedding-nom…
MachineMac StudioMacBook Air
CPUApple M2 MaxApple M4
Cores1210
RAM96 GB32 GB
GPUApple M2 MaxApple M4
OSmacOS 26.1macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3.6-35b-a3b text-embedding-nom…
Tokens/sec55.245.3
First chunk4 ms2440 ms
TTFT30.0 s2.4 s
Load timeN/AN/A
Memory usage30.3 GB0.0 GB
Memory %32%0%
HW Fit Score Breakdown
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
Memory
30/30
text-embedding-nomic-em…
Speed
40/50
TTFT
25/20
Memory
29/30
Quality
qwen3.6-35b-a3b
Reasoning
18/20
Coding
10/20
Instruction
18/20
Structured
14/15
Math
14/15
Multilingual
9/10
Reasoning: Strong Coding: Weak Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
text-embedding-nomic-em…
Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor 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