glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

mistralai/magistral-small-2509

LM-STUDIO MLX

mistral3 · 24B · 4bit

Good

Mar 4, 2026 · Apple M4

Global Score

76 vs 74

Hardware Fit

73 vs 66

Quality Score

77 vs 78

Hardware

glm-4.7-flash:bf16 mistralai/magistra…

MachineNVIDIA NVIDIA_DGX_SparkMacBook Air

CPUCortex-X925Apple M4

Cores2010

RAM122 GB32 GB

GPUDevice 2e12Apple M4

OSUbuntu 24.04.4 LTSmacOS 26.3

Archarm64arm64

Power Modeperformancebalanced

Performance

glm-4.7-flash:bf16 mistralai/magistra…

Tokens/sec25.87.9

First chunk605 ms1356 ms

TTFT605 ms1.4 s

Load time44.2 sN/A

Memory usage57.0 GB13.2 GB

Memory %47%41%

HW Fit Score Breakdown

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

mistralai/magistral-sma…

Speed

16/50

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

mistralai/magistral-sma…

Reasoning

14/20

Coding

18/20

Instruction

14/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View glm-4.7-flash:bf16 details | View mistralai/magistra… 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