qwen/qwen3.8-27b
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Aug 19, 2026 · Apple M4 Max
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
Global Score
83 vs 66
Hardware Fit
68 vs 100
Quality Score
90 vs 52
Hardware
qwen/qwen3.8-27b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M4 MaxApple M1 Pro
Cores1610
RAM128 GB16 GB
GPUApple M4 MaxApple M1 Pro
OSmacOS 26.5.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen/qwen3.8-27b hf.co/empero-ai/Qw…
Tokens/sec27.640.4
First chunk10 ms93 ms
TTFT4.6 s93 ms
Load timeN/A2.7 s
Memory usage21.0 GB4.7 GB
Memory %16%30%
HW Fit Score Breakdown
qwen/qwen3.8-27b
Speed
32/50
TTFT
6/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest