mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

phi-1_5

LM-STUDIO GGUF

phi2 · Q8_0

Not Rec.

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score

71 vs 28

Hardware Fit

86 vs 66

Quality Score

65 vs 11

Hardware

mistral-nemo:12b phi-1_5

MachineMacBook AirLENOVO 20BUS00700

CPUApple M4Intel Core™ i5-5300U

Cores104

RAM32 GB16 GB

GPUApple M4Intel(R) HD Graphics 5500

OSmacOS 26.3Microsoft Windows 10 Professionnel 10.0.19045

Archarm64x64

Power Modebalancedbalanced

Performance

mistral-nemo:12b phi-1_5

Tokens/sec14.66.9

First chunkN/A3040 ms

TTFT371 ms3.0 s

Load time1.0 sN/A

Memory usage13.3 GB1.4 GB

Memory %42%9%

HW Fit Score Breakdown

mistral-nemo:12b

Speed

26/50

TTFT

30/20

Memory

30/30

phi-1_5

Speed

24/50

TTFT

16/20

Memory

26/30

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

phi-1_5

Reasoning

2/20

Coding

2/20

Instruction

3/20

Structured

0/15

Math

2/15

Multilingual

2/10

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

View mistral-nemo:12b details | View phi-1_5 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