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mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
71 vs 50
Hardware Fit
86 vs 97
Quality Score
65 vs 30

Hardware

mistral-nemo:12b gemma3:270m
MachineMacBook AirMacBook Pro
CPUApple M4Apple M3 Pro
Cores1012
RAM32 GB36 GB
GPUApple M4Apple M3 Pro
OSmacOS 26.3macOS 15.7.5
Archarm64arm64
Power Modebalancedbalanced

Performance

mistral-nemo:12b gemma3:270m
Tokens/sec14.6239.2
First chunkN/A127 ms
TTFT371 ms127 ms
Load time1.0 s0.7 s
Memory usage13.3 GB0.6 GB
Memory %42%2%

HW Fit Score Breakdown

mistral-nemo:12b

Speed
26/50
TTFT
30/20
Memory
30/30

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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