mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Excellent

Apr 3, 2026 · AMD RYZEN AI MAX+ 395

Global Score

71 vs 89

Hardware Fit

86 vs 95

Quality Score

65 vs 87

Hardware

mistral-nemo:12b gemma4:26b

MachineMacBook AirAZW GTR Pro

CPUApple M4AMD RYZEN AI MAX+ 395

Cores1032

RAM32 GB125 GB

GPUApple M4Radeon 8060S

OSmacOS 26.3Ubuntu 24.04.4 LTS

Archarm64x64

Power Modebalancedperformance

Performance

mistral-nemo:12b gemma4:26b

Tokens/sec14.648.3

First chunkN/A346 ms

TTFT371 ms346 ms

Load time1.0 s4.4 s

Memory usage13.3 GB36.1 GB

Memory %42%29%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

gemma4:26b

Speed

45/50

TTFT

20/20

Memory

30/30

Quality

mistral-nemo:12b

Reasoning

12/20

Coding

13/20

Instruction

11/20

Structured

15/15

Math

4/15

Multilingual

10/10

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

gemma4:26b

Reasoning

16/20

Coding

19/20

Instruction

16/20

Structured

14/15

Math

13/15

Multilingual

9/10

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

View mistral-nemo:12b details | View gemma4:26b 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