qwen3.5-27b-claude-4.6-opus-distilled-mlx
LM-STUDIO MLXqwen3_5 · 27B · 4bit
Mar 10, 2026 · Apple M4
qwen3-vl:8b
OLLAMA GGUFqwen3vl · 8.8B · Q4_K_M
Apr 28, 2026 · Intel Xeon® Gold 6230
Global Score
34 vs 72
Hardware Fit
21 vs 89
Quality Score
39 vs 64
Hardware
qwen3.5-27b-claude… qwen3-vl:8b
MachineMac miniHP HP Z8 G4 Workstation
CPUApple M4Intel Xeon® Gold 6230
Cores1080
RAM24 GB252 GB
GPUApple M4TU104GL [Quadro RTX 5000]
OSmacOS 26.3Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
qwen3.5-27b-claude… qwen3-vl:8b
Tokens/sec6.168.2
First chunk7 ms285 ms
TTFT22.9 s2.0 s
Load timeN/A42.4 s
Memory usage19.8 GB7.1 GB
Memory %82%3%
HW Fit Score Breakdown
qwen3.5-27b-claude-4.6-…
Speed
12/50
TTFT
0/20
Memory
9/30
qwen3-vl:8b
Speed
50/50
TTFT
9/20
Memory
30/30
Quality
qwen3.5-27b-claude-4.6-…
Reasoning
1/20
Coding
14/20
Instruction
5/20
Structured
8/15
Math
4/15
Multilingual
7/10
Reasoning: Poor Coding: Adequate Instruction Following: Weak Structured Output: Adequate Math: Poor Multilingual: Adequate
qwen3-vl:8b
Reasoning
16/20
Coding
3/20
Instruction
10/20
Structured
11/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Strong 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