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qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 6, 2026 · Apple M4 Pro

hf.co/openbmb/MiniCPM5-1B-GGUF:F16

OLLAMA GGUF

llama · 1.08B · F16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score
53 vs 71
Hardware Fit
89 vs 100
Quality Score
38 vs 58

Hardware

qwen3.5-0.8b-mlx hf.co/openbmb/Mini…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M1 Pro
Cores1410
RAM64 GB16 GB
GPUApple M4 ProApple M1 Pro
OSmacOS 15.7.4macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.5-0.8b-mlx hf.co/openbmb/Mini…
Tokens/sec52.988.1
First chunk4013 ms38 ms
TTFT4.0 s38 ms
Load timeN/A1.6 s
Memory usage0.6 GB3.9 GB
Memory %1%25%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

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

hf.co/openbmb/MiniCPM5-…

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

Quality

qwen3.5-0.8b-mlx

Reasoning
7/20
Coding
2/20
Instruction
12/20
Structured
10/15
Math
2/15
Multilingual
5/10
Reasoning: Weak Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

hf.co/openbmb/MiniCPM5-…

Reasoning
12/20
Coding
10/20
Instruction
15/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Adequate Math: Poor Multilingual: Adequate
View qwen3.5-0.8b-mlx details | View hf.co/openbmb/Mini… 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