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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

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
34 vs 80
Hardware Fit
21 vs 95
Quality Score
39 vs 73

Hardware

qwen3.5-27b-claude… lfm2.5:8b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… lfm2.5:8b
Tokens/sec6.198.5
First chunk7 ms167 ms
TTFT22.9 s2.5 s
Load timeN/A3.0 s
Memory usage19.8 GB6.0 GB
Memory %82%37%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

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

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

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

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View qwen3.5-27b-claude… details | View lfm2.5:8b 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