glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

mlx-community/meta-llama-3.1-8b-instruct

LM-STUDIO MLX

llama · 8B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

76 vs 77

Hardware Fit

73 vs 100

Quality Score

77 vs 67

Hardware

glm-4.7-flash:bf16 mlx-community/meta…

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 mlx-community/meta…

Tokens/sec25.854.3

First chunk605 ms277 ms

TTFT605 ms277 ms

Load time44.2 sN/A

Memory usage57.0 GB4.2 GB

Memory %47%7%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

mlx-community/meta-llam…

Speed

50/50

TTFT

20/20

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

mlx-community/meta-llam…

Reasoning

11/20

Coding

14/20

Instruction

14/20

Structured

15/15

Math

4/15

Multilingual

9/10

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

View glm-4.7-flash:bf16 details | View mlx-community/meta… 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