deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

37 vs 76

Hardware Fit

73 vs 100

Quality Score

22 vs 66

Hardware

deepseek-r1:1.5b google/gemma-3-4b

MachineLENOVO 20L7CTO1WWMacBook Air

CPUIntel Core™ i5-8350UApple M4

Cores810

RAM23 GB32 GB

GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4

OSFedora Linux 43macOS 26.3

Archx64arm64

Power Modelow-powerbalanced

Performance

deepseek-r1:1.5b google/gemma-3-4b

Tokens/sec18.439.4

First chunk593 ms468 ms

TTFT30.0 s468 ms

Load time3.8 sN/A

Memory usage1.0 GB2.8 GB

Memory %4%9%

HW Fit Score Breakdown

deepseek-r1:1.5b

Speed

43/50

TTFT

0/20

Memory

30/30

google/gemma-3-4b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

deepseek-r1:1.5b

Reasoning

4/20

Coding

0/20

Instruction

5/20

Structured

3/15

Math

7/15

Multilingual

3/10

Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Weak

google/gemma-3-4b

Reasoning

10/20

Coding

17/20

Instruction

13/20

Structured

12/15

Math

4/15

Multilingual

10/10

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

View deepseek-r1:1.5b details | View google/gemma-3-4b 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