glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen3.5-2b-mlx

LM-STUDIO MLX

qwen3_5 · 2B · 4bit

Good

Mar 6, 2026 · Apple M4 Pro

Global Score

76 vs 65

Hardware Fit

73 vs 88

Quality Score

77 vs 55

Hardware

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

MachineNVIDIA NVIDIA_DGX_SparkMac mini

CPUCortex-X925Apple M4 Pro

Cores2014

RAM122 GB64 GB

GPUDevice 2e12Apple M4 Pro

OSUbuntu 24.04.4 LTSmacOS 15.7.4

Archarm64arm64

Power Modeperformancebalanced

Performance

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

Tokens/sec25.848.9

First chunk605 ms4208 ms

TTFT605 ms4.2 s

Load time44.2 sN/A

Memory usage57.0 GB1.6 GB

Memory %47%3%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

qwen3.5-2b-mlx

Speed

50/50

TTFT

8/20

Memory

30/30

Quality

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

qwen3.5-2b-mlx

Reasoning

10/20

Coding

7/20

Instruction

13/20

Structured

14/15

Math

3/15

Multilingual

8/10

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

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