ministral-3:8b

OLLAMA GGUF

mistral3 · 8.9B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score

76 vs 65

Hardware Fit

89 vs 88

Quality Score

71 vs 55

Hardware

ministral-3:8b glm-4.6v-flash

MachineMacBook AirMac Studio

CPUApple M4Apple M2 Max

Cores1012

RAM32 GB96 GB

GPUApple M4Apple M2 Max

OSmacOS 26.3macOS 26.1

Archarm64arm64

Power Modebalancedbalanced

Performance

ministral-3:8b glm-4.6v-flash

Tokens/sec19.549.9

First chunk328 ms27 ms

TTFT328 ms3.7 s

Load time1.5 s2.7 s

Memory usage10.6 GB0.0 GB

Memory %33%0%

HW Fit Score Breakdown

ministral-3:8b

Speed

39/50

TTFT

20/20

Memory

30/30

glm-4.6v-flash

Speed

50/50

TTFT

8/20

Memory

30/30

Quality

ministral-3:8b

Reasoning

12/20

Coding

18/20

Instruction

12/20

Structured

13/15

Math

6/15

Multilingual

10/10

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

glm-4.6v-flash

Reasoning

0/20

Coding

16/20

Instruction

12/20

Structured

2/15

Math

15/15

Multilingual

10/10

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

View ministral-3:8b details | View glm-4.6v-flash 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