qwen2.5-7b-instruct

LM-STUDIO MLX

qwen2 · 7B · 4bit

Excellent

Mar 3, 2026 · Apple M4

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score

82 vs 86

Hardware Fit

92 vs 78

Quality Score

78 vs 89

Hardware

qwen2.5-7b-instruct Kimi-48B:48B

MachineMacBook AirGMKtec NucBox EVO-T2S

CPUApple M4Intel Core™ Ultra X7 358H

Cores1016

RAM32 GB64 GB

GPUApple M4Intel(R) Arc(TM) B390 GPU

OSmacOS 26.3Microsoft Windows 11 Pro 10.0.26200

Archarm64x64

Power Modebalancedbalanced

Performance

qwen2.5-7b-instruct Kimi-48B:48B

Tokens/sec22.023.1

First chunk477 ms752 ms

TTFT477 ms752 ms

Load timeN/A22.2 s

Memory usage4.0 GB25.5 GB

Memory %13%40%

HW Fit Score Breakdown

qwen2.5-7b-instruct

Speed

43/50

TTFT

20/20

Memory

29/30

Kimi-48B:48B

Speed

31/50

TTFT

20/20

Memory

27/30

Quality

qwen2.5-7b-instruct

Reasoning

14/20

Coding

17/20

Instruction

15/20

Structured

15/15

Math

8/15

Multilingual

9/10

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

Kimi-48B:48B

Reasoning

18/20

Coding

19/20

Instruction

15/20

Structured

15/15

Math

13/15

Multilingual

9/10

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

View qwen2.5-7b-instruct details | View Kimi-48B:48B 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