Back to leaderboard

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

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

Global Score
34 vs 55
Hardware Fit
21 vs 87
Quality Score
39 vs 41

Hardware

qwen3.5-27b-claude… qwen3.5-0.8b-mlx
MachineMac miniMacBook Air
CPUApple M4Apple M4
Cores1010
RAM24 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-27b-claude… qwen3.5-0.8b-mlx
Tokens/sec6.168.2
First chunk7 ms3268 ms
TTFT22.9 s3.3 s
Load timeN/AN/A
Memory usage19.8 GB0.6 GB
Memory %82%2%

HW Fit Score Breakdown

qwen3.5-27b-claude-4.6-…

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

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
13/20
Memory
24/30

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

qwen3.5-0.8b-mlx

Reasoning
8/20
Coding
1/20
Instruction
12/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
View qwen3.5-27b-claude… details | View qwen3.5-0.8b-mlx 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