qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
Global Score
85 vs 84
Hardware Fit
77 vs 69
Quality Score
88 vs 90
Hardware
qwen3.8:27b-bf16 qwen/qwen3.8-27b
MachineDell Inc. PowerEdge XE8545MacBook Pro
CPUAMD EPYC 7713 64-Core ProcessorApple M4 Max
Cores12816
RAM1007 GB128 GB
GPUGA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB], Integrated Matrox G200eW3 Graphics Controller, GA100 [A100 SXM4 80GB], GA100 [A100 SXM4 80GB]Apple M4 Max
OSRocky Linux 8.10macOS 26.5.2
Archx64arm64
Power Modeunknownbalanced
Performance
qwen3.8:27b-bf16 qwen/qwen3.8-27b
Tokens/sec27.228.9
First chunk237 ms33 ms
TTFT237 ms4.4 s
Load time43.8 s7.9 s
Memory usage68.8 GB0.0 GB
Memory %7%0%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
qwen/qwen3.8-27b
Speed
33/50
TTFT
6/20
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
qwen/qwen3.8-27b
Reasoning
19/20
Coding
15/20
Instruction
16/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate 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