Back to leaderboard

qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 8bit

Good

Mar 3, 2026 · Apple M4

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 10, 2026 · Apple M4

Global Score
60 vs 66
Hardware Fit
96 vs 34
Quality Score
44 vs 80

Hardware

qwen3.5-0.8b-mlx qwen3.5:27b
MachineMacBook AirMac mini
CPUApple M4Apple M4
Cores1010
RAM32 GB24 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx qwen3.5:27b
Tokens/sec108.04.0
First chunk2568 ms1655 ms
TTFT2.6 s1.7 s
Load timeN/A12.9 s
Memory usage1.0 GB21.3 GB
Memory %3%89%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed
50/50
TTFT
16/20
Memory
30/30

qwen3.5:27b

Speed
8/50
TTFT
20/20
Memory
6/30

Quality

qwen3.5-0.8b-mlx

Reasoning
10/20
Coding
3/20
Instruction
11/20
Structured
12/15
Math
3/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

qwen3.5:27b

Reasoning
16/20
Coding
18/20
Instruction
9/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Strong Math: Strong Multilingual: Strong

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