qwen3.6:35b-a3b
OLLAMA GGUFqwen35moe · 35.5B · Q4_K_M
Sep 15, 2026 · Intel Core™ i5-14400F
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
Global Score
86 vs 66
Hardware Fit
87 vs 100
Quality Score
86 vs 52
Hardware
qwen3.6:35b-a3b hf.co/empero-ai/Qw…
MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Pro
CPUIntel Core™ i5-14400FApple M1 Pro
Cores1610
RAM32 GB16 GB
GPUNVIDIA GeForce RTX 5060 TiApple M1 Pro
OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen3.6:35b-a3b hf.co/empero-ai/Qw…
Tokens/sec59.540.2
First chunk380 ms325 ms
TTFT380 ms325 ms
Load time24.6 s3.1 s
Memory usage20.9 GB4.7 GB
Memory %66%30%
HW Fit Score Breakdown
qwen3.6:35b-a3b
Speed
50/50
TTFT
20/20
Memory
17/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3.6:35b-a3b
Reasoning
16/20
Coding
17/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
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