qwen3.8:27b-bf16
OLLAMA GGUFqwen35 · 27.3B · BF16
Aug 22, 2026 · AMD EPYC 7713 64-Core Processor
qwen3-vl-4b-instruct
LM-STUDIO GGUFqwen3vl · 4B · Q4_K_M
Apr 20, 2026 · Apple M2 Max
Global Score
85 vs 87
Hardware Fit
77 vs 100
Quality Score
88 vs 81
Hardware
qwen3.8:27b-bf16 qwen3-vl-4b-instruct
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-vl-4b-instruct
Tokens/sec27.271.2
First chunk237 ms10 ms
TTFT237 ms183 ms
Load time43.8 s6.0 s
Memory usage68.8 GB0.3 GB
Memory %7%0%
HW Fit Score Breakdown
qwen3.8:27b-bf16
Speed
27/50
TTFT
20/20
Memory
30/30
qwen3-vl-4b-instruct
Speed
50/50
TTFT
20/20
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-vl-4b-instruct
Reasoning
15/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate 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