qwen3.8-27b-mlx
LM-STUDIO UNKNOWN27B
Aug 17, 2026 · Apple M5 Max
qwen2-57b:57B
OLLAMA GGUFqwen2moe · 57.4B · Q4_K_M
Aug 18, 2026 · Intel Core™ i7-14700F
Global Score
66 vs 69
Hardware Fit
91 vs 51
Quality Score
55 vs 76
Hardware
qwen3.8-27b-mlx qwen2-57b:57B
MachineMacBook ProHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUApple M5 MaxIntel Core™ i7-14700F
Cores1828
RAM64 GB64 GB
GPUApple M5 MaxNVIDIA GeForce RTX 5080
OSmacOS 27.0Microsoft Windows 11 Enterprise 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
qwen3.8-27b-mlx qwen2-57b:57B
Tokens/sec33.27.7
First chunk7 ms940 ms
TTFT311 ms940 ms
Load timeN/A0.2 s
Memory usage0.5 GB33.3 GB
Memory %1%52%
HW Fit Score Breakdown
qwen3.8-27b-mlx
Speed
41/50
TTFT
20/20
Memory
30/30
qwen2-57b:57B
Speed
8/50
TTFT
19/20
Memory
24/30
Quality
qwen3.8-27b-mlx
Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
qwen2-57b:57B
Reasoning
14/20
Coding
15/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate 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