deepseek-r1:7b

OLLAMA GGUF

qwen2 · 7.6B · Q4_K_M

Good

Mar 5, 2026 · Intel Core™ i5-6500

gemma-4-31b-it-mlx

LM-STUDIO MLX

gemma4 · 31B · 8bit

Excellent

Aug 19, 2026 · Apple M4 Max

Global Score

66 vs 85

Hardware Fit

63 vs 64

Quality Score

67 vs 94

Hardware

deepseek-r1:7b gemma-4-31b-it-mlx

MachineGigabyte Technology Co., Ltd. H170M-D3HMacBook Pro

CPUIntel Core™ i5-6500Apple M4 Max

Cores416

RAM16 GB128 GB

GPUGP104 [GeForce GTX 1070]Apple M4 Max

OSUbuntu 24.04.4 LTSmacOS 26.5.2

Archx64arm64

Power Modelow-powerbalanced

Performance

deepseek-r1:7b gemma-4-31b-it-mlx

Tokens/sec35.613.6

First chunk224 ms16 ms

TTFT7.5 s558 ms

Load time7.7 s12.3 s

Memory usage4.6 GB0.0 GB

Memory %29%0%

HW Fit Score Breakdown

deepseek-r1:7b

Speed

50/50

TTFT

7/20

Memory

6/30

gemma-4-31b-it-mlx

Speed

14/50

TTFT

20/20

Memory

30/30

Quality

deepseek-r1:7b

Reasoning

16/20

Coding

10/20

Instruction

9/20

Structured

10/15

Math

14/15

Multilingual

8/10

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

gemma-4-31b-it-mlx

Reasoning

19/20

Coding

19/20

Instruction

18/20

Structured

15/15

Math

14/15

Multilingual

9/10

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

View deepseek-r1:7b details | View gemma-4-31b-it-mlx 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