qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
qwen3.6-35b-a3b
LM-STUDIO GGUFqwen35moe · 35B · Q4_K_S
Apr 20, 2026 · Apple M2 Max
Global Score
85 vs 82
Hardware Fit
77 vs 80
Quality Score
88 vs 83
Hardware
qwen3.8:27b-bf16 qwen3.6-35b-a3b
MachineDell Inc. PowerEdge XE8545Mac Studio
CPUAMD EPYC 7713 64-Core ProcessorApple M2 Max
Cores12812
RAM1007 GB96 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M2 Max
OSRocky Linux 8.10macOS 26.1
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 qwen3.6-35b-a3b
Tokens/sec27.255.2
First chunk237 ms4 ms
TTFT237 ms30.0 s
Load time43.8 sN/A
Memory usage68.8 GB30.3 GB
Memory %7%32%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
qwen3.6-35b-a3b
Speed
50/50
TTFT
0/20
Memory
30/30
Quality
qwen3.8:27b-bf16
Reasoning
18/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
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
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