qwen3.8-27b-fable-fusion-f711-gain-mlx
LM-STUDIO MLXqwen3_5 · 27B · MXFP4
Aug 20, 2026 · Apple M4 Max
codestral:22b
OLLAMA GGUFllama · 22.2B · Q4_0
Jun 26, 2026 · Cortex-X925
Global Score
88 vs 67
Hardware Fit
70 vs 67
Quality Score
96 vs 67
Hardware
qwen3.8-27b-fable-… codestral:22b
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M4 MaxCortex-X925
Cores1620
RAM128 GB122 GB
GPUApple M4 MaxDevice 2e12
OSmacOS 26.5.2Ubuntu 24.04.4 LTS
Archarm64arm64
Power Modebalancedperformance
Performance
qwen3.8-27b-fable-… codestral:22b
Tokens/sec30.417.2
First chunk27 ms129 ms
TTFT4.4 s129 ms
Load timeN/A11.6 s
Memory usage19.9 GB18.9 GB
Memory %16%16%
HW Fit Score Breakdown
qwen3.8-27b-fable-fusio…
Speed
34/50
TTFT
6/20
Memory
30/30
codestral:22b
Speed
17/50
TTFT
20/20
Memory
30/30
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
codestral:22b
Reasoning
11/20
Coding
17/20
Instruction
9/20
Structured
14/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Weak 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