qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
gpt-oss-20b
LM-STUDIO GGUFMar 6, 2026 · Apple M4 Pro
Global Score
85 vs 95
Hardware Fit
77 vs 94
Quality Score
88 vs 95
Hardware
qwen3.8:27b-bf16 gpt-oss-20b
MachineDell Inc. PowerEdge XE8545Mac mini
CPUAMD EPYC 7713 64-Core ProcessorApple M4 Pro
Cores12814
RAM1007 GB64 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4 Pro
OSRocky Linux 8.10macOS 15.7.4
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 gpt-oss-20b
Tokens/sec27.2118.2
First chunk237 ms471 ms
TTFT237 ms2.2 s
Load time43.8 sN/A
Memory usage68.8 GB11.3 GB
Memory %7%18%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
gpt-oss-20b
Speed
50/50
TTFT
14/20
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
gpt-oss-20b
Reasoning
19/20
Coding
18/20
Instruction
18/20
Structured
15/15
Math
15/15
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$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest