deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

gemma-3-27b-it-qat

LM-STUDIO MLX

gemma3 · 27B · 4bit

Good

Mar 5, 2026 · Apple M4 Pro

Global Score

37 vs 76

Hardware Fit

73 vs 51

Quality Score

22 vs 87

Hardware

deepseek-r1:1.5b gemma-3-27b-it-qat

MachineLENOVO 20L7CTO1WWMac mini

CPUIntel Core™ i5-8350UApple M4 Pro

Cores814

RAM23 GB64 GB

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

OSFedora Linux 43macOS 15.7.4

Archx64arm64

Power Modelow-powerbalanced

Performance

deepseek-r1:1.5b gemma-3-27b-it-qat

Tokens/sec18.48.9

First chunk593 ms3976 ms

TTFT30.0 s4.0 s

Load time3.8 sN/A

Memory usage1.0 GB15.7 GB

Memory %4%25%

HW Fit Score Breakdown

deepseek-r1:1.5b

Speed

43/50

TTFT

0/20

Memory

30/30

gemma-3-27b-it-qat

Speed

12/50

TTFT

9/20

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

gemma-3-27b-it-qat

Reasoning

16/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

11/15

Multilingual

10/10

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

View deepseek-r1:1.5b details | View gemma-3-27b-it-qat 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