glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

qwen3.5-27b-claude-4.6-opus-distilled-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 4bit

Not Rec.

Mar 10, 2026 · Apple M4

Global Score

76 vs 34

Hardware Fit

73 vs 21

Quality Score

77 vs 39

Hardware

glm-4.7-flash:bf16 qwen3.5-27b-claude…

MachineNVIDIA NVIDIA_DGX_SparkMac mini

CPUCortex-X925Apple M4

Cores2010

RAM122 GB24 GB

GPUDevice 2e12Apple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archarm64arm64

Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 qwen3.5-27b-claude…

Tokens/sec25.86.1

First chunk605 ms7 ms

TTFT605 ms22.9 s

Load time44.2 sN/A

Memory usage57.0 GB19.8 GB

Memory %47%82%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

qwen3.5-27b-claude-4.6-…

Speed

12/50

TTFT

0/20

Memory

9/30

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

qwen3.5-27b-claude-4.6-…

Reasoning

1/20

Coding

14/20

Instruction

5/20

Structured

8/15

Math

4/15

Multilingual

7/10

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

View glm-4.7-flash:bf16 details | View qwen3.5-27b-claude… 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