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qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
34 vs 65
Hardware Fit
21 vs 92
Quality Score
39 vs 54

Hardware

qwen3.5-27b-claude… qwen2.5:1.5b
MachineMac miniiMac
CPUApple M4Intel Core™ i7-4771
Cores108
RAM24 GB32 GB
GPUApple M4NVIDIA GeForce GTX 780M
OSmacOS 26.3macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… qwen2.5:1.5b
Tokens/sec6.119.6
First chunk7 ms690 ms
TTFT22.9 s690 ms
Load timeN/A21.4 s
Memory usage19.8 GB1.0 GB
Memory %82%3%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

Speed
12/50
TTFT
0/20
Memory
9/30

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
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

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
View qwen3.5-27b-claude… details | View qwen2.5:1.5b details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest