qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
hf.co/ornith-ai/Ornith-1.0-9B-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 8.95B · unknown
Aug 23, 2026 · Apple M1 Pro
Global Score
88 vs 62
Hardware Fit
70 vs 96
Quality Score
96 vs 47
Hardware
qwen3.8-27b-fable-… hf.co/ornith-ai/Or…
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
qwen3.8-27b-fable-… hf.co/ornith-ai/Or…
Tokens/sec30.422.3
First chunk27 ms324 ms
TTFT4.4 s324 ms
Load timeN/A3.2 s
Memory usage19.9 GB6.9 GB
Memory %16%43%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
hf.co/ornith-ai/Ornith-…
Speed
49/50
TTFT
20/20
Memory
27/30
Quality
qwen3.8-27b-fable-fusio…
Reasoning
19/20
Coding
19/20
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
hf.co/ornith-ai/Ornith-…
Reasoning
16/20
Coding
14/20
Instruction
3/20
Structured
1/15
Math
13/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest