cogito:8b

OLLAMA GGUF

llama · 8.0B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

glm-4.7-flash:bf16

OLLAMA GGUF

deepseek2 · 29.9B · F16

Good

Jun 26, 2026 · Cortex-X925

Global Score

77 vs 76

Hardware Fit

92 vs 73

Quality Score

70 vs 77

Hardware

cogito:8b 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

cogito:8b glm-4.7-flash:bf16

Tokens/sec21.025.8

First chunk312 ms605 ms

TTFT312 ms605 ms

Load time0.8 s44.2 s

Memory usage10.4 GB57.0 GB

Memory %33%47%

HW Fit Score Breakdown

cogito:8b

Speed

42/50

TTFT

20/20

Memory

30/30

glm-4.7-flash:bf16

Speed

27/50

TTFT

20/20

Memory

26/30

Quality

cogito:8b

Reasoning

14/20

Coding

13/20

Instruction

13/20

Structured

15/15

Math

5/15

Multilingual

10/10

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

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 cogito:8b 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