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mistral-nemo:12b

OLLAMA GGUF

llama · 12.2B · Q4_0

Good

Mar 1, 2026 · Apple M4

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

Global Score
71 vs 66
Hardware Fit
86 vs 100
Quality Score
65 vs 51

Hardware

mistral-nemo:12b deepseek-r1:1.5b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

mistral-nemo:12b deepseek-r1:1.5b
Tokens/sec14.685.4
First chunkN/A115 ms
TTFT371 ms115 ms
Load time1.0 s0.5 s
Memory usage13.3 GB2.6 GB
Memory %42%8%

HW Fit Score Breakdown

mistral-nemo:12b

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

deepseek-r1:1.5b

Speed
50/50
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

deepseek-r1:1.5b

Reasoning
14/20
Coding
4/20
Instruction
8/20
Structured
6/15
Math
14/15
Multilingual
5/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Weak Math: Strong Multilingual: Adequate

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