qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma4:31b

OLLAMA GGUF

gemma4 · 31.3B · Q4_K_M

Not Rec.

Jul 7, 2026 · Cortex-X925

Global Score

89 vs 66

Hardware Fit

95 vs 40

Quality Score

87 vs 77

Hardware

qwen/qwen3-8b gemma4:31b

MachineMac miniASUSTeK COMPUTER INC. GX10

CPUApple M4 ProCortex-X925

Cores1420

RAM64 GB122 GB

GPUApple M4 ProDevice 2e12

OSmacOS 15.7.4Ubuntu 24.04.4 LTS

Archarm64arm64

Power Modebalancedperformance

Performance

qwen/qwen3-8b gemma4:31b

Tokens/sec33.410.7

First chunk257 ms983 ms

TTFT257 ms20.3 s

Load timeN/A8.8 s

Memory usage4.3 GB21.4 GB

Memory %7%18%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

gemma4:31b

Speed

10/50

TTFT

0/20

Memory

30/30

Quality

qwen/qwen3-8b

Reasoning

19/20

Coding

14/20

Instruction

16/20

Structured

15/15

Math

13/15

Multilingual

10/10

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

gemma4:31b

Reasoning

14/20

Coding

17/20

Instruction

13/20

Structured

14/15

Math

10/15

Multilingual

9/10

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

View qwen/qwen3-8b details | View gemma4:31b 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