qwen3.5-0.8b-mlx

LM-STUDIO MLX

qwen3_5 · 0.8B · 4bit

Marginal

Mar 3, 2026 · Apple M4

deepseek-r1:70b

OLLAMA GGUF

llama · 70.6B · Q4_K_M

Not Rec.

Jun 27, 2026 · Cortex-X925

Global Score

55 vs 47

Hardware Fit

87 vs 51

Quality Score

41 vs 45

Hardware

qwen3.5-0.8b-mlx deepseek-r1:70b

MachineMacBook AirNVIDIA NVIDIA_DGX_Spark

CPUApple M4Cortex-X925

Cores1020

RAM32 GB122 GB

GPUApple M4Device 2e12

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

qwen3.5-0.8b-mlx deepseek-r1:70b

Tokens/sec68.24.7

First chunk3268 ms557 ms

TTFT3.3 s557 ms

Load timeN/A52.6 s

Memory usage0.6 GB49.5 GB

Memory %2%41%

HW Fit Score Breakdown

qwen3.5-0.8b-mlx

Speed

50/50

TTFT

13/20

Memory

24/30

deepseek-r1:70b

Speed

4/50

TTFT

20/20

Memory

27/30

Quality

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

deepseek-r1:70b

Reasoning

3/20

Coding

1/20

Instruction

14/20

Structured

9/15

Math

8/15

Multilingual

10/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Adequate Multilingual: Strong

View qwen3.5-0.8b-mlx details | View deepseek-r1:70b 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