phi-3.5-mini-instruct

LM-STUDIO MLX

phi3 · 4bit

Marginal

Mar 4, 2026 · Apple M4

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score

55 vs 76

Hardware Fit

100 vs 73

Quality Score

36 vs 77

Hardware

phi-3.5-mini-instr… 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

phi-3.5-mini-instr… glm-4.7-flash:bf16

Tokens/sec43.425.8

First chunk359 ms605 ms

TTFT359 ms605 ms

Load timeN/A44.2 s

Memory usage2.0 GB57.0 GB

Memory %6%47%

HW Fit Score Breakdown

phi-3.5-mini-instruct

Speed

50/50

TTFT

20/20

Memory

30/30

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

Quality

phi-3.5-mini-instruct

Reasoning

11/20

Coding

4/20

Instruction

7/20

Structured

1/15

Math

7/15

Multilingual

6/10

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

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 phi-3.5-mini-instr… 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