qwen/qwen3-8b

LM-STUDIO MLX

qwen3 · 8B · 4bit

Excellent

Mar 5, 2026 · Apple M4 Pro

gemma4:e2b

OLLAMA GGUF

gemma4 · 5.1B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score

89 vs 76

Hardware Fit

95 vs 82

Quality Score

87 vs 73

Hardware

qwen/qwen3-8b gemma4:e2b

MachineMac miniLENOVO 20U30029MB

CPUApple M4 ProIntel Core™ i5-10210U

Cores148

RAM64 GB15 GB

GPUApple M4 ProCometLake-U GT2 [UHD Graphics]

OSmacOS 15.7.4Pop 24.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

qwen/qwen3-8b gemma4:e2b

Tokens/sec33.413.5

First chunk257 ms1270 ms

TTFT257 ms1.3 s

Load timeN/A13.4 s

Memory usage4.3 GB6.5 GB

Memory %7%42%

HW Fit Score Breakdown

qwen/qwen3-8b

Speed

45/50

TTFT

20/20

Memory

30/30

gemma4:e2b

Speed

35/50

TTFT

20/20

Memory

27/30

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:e2b

Reasoning

10/20

Coding

15/20

Instruction

16/20

Structured

15/15

Math

7/15

Multilingual

10/10

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

View qwen/qwen3-8b details | View gemma4:e2b 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