qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 8bit

Good

Mar 3, 2026 · Apple M4

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score

70 vs 76

Hardware Fit

93 vs 73

Quality Score

60 vs 77

Hardware

qwen3.5-2b-mlx glm-4.7-flash:bf16

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

qwen3.5-2b-mlx glm-4.7-flash:bf16

Tokens/sec32.925.8

First chunk3096 ms605 ms

TTFT3.1 s605 ms

Load timeN/A44.2 s

Memory usage2.5 GB57.0 GB

Memory %8%47%

HW Fit Score Breakdown

qwen3.5-2b-mlx

Speed

50/50

TTFT

13/20

Memory

30/30

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

Quality

qwen3.5-2b-mlx

Reasoning

11/20

Coding

9/20

Instruction

14/20

Structured

14/15

Math

3/15

Multilingual

9/10

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

glm-4.7-flash:bf16

Reasoning

13/20

Coding

17/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

10/10

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

View qwen3.5-2b-mlx details | View glm-4.7-flash:bf16 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