llama3.1:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

glm-4.6v-flash

LM-STUDIO GGUF

glm4 · Q4_K_S

Good

Apr 21, 2026 · Apple M2 Max

Global Score

81 vs 65

Hardware Fit

100 vs 88

Quality Score

73 vs 55

Hardware

llama3.1:8b glm-4.6v-flash

MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4Mac Studio

CPUIntel Core™ i5-14400FApple M2 Max

Cores1612

RAM32 GB96 GB

GPUNVIDIA GeForce RTX 5060 TiApple M2 Max

OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.1

Archx64arm64

Power Modebalancedbalanced

Performance

llama3.1:8b glm-4.6v-flash

Tokens/sec70.249.9

First chunk58 ms27 ms

TTFT58 ms3.7 s

Load time4.1 s2.7 s

Memory usage4.9 GB0.0 GB

Memory %15%0%

HW Fit Score Breakdown

llama3.1:8b

Speed

50/50

TTFT

20/20

Memory

30/30

glm-4.6v-flash

Speed

50/50

TTFT

8/20

Memory

30/30

Quality

llama3.1:8b

Reasoning

12/20

Coding

18/20

Instruction

15/20

Structured

13/15

Math

5/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong 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 llama3.1:8b 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