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deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Good

Mar 6, 2026 · Apple M4

lfm2-24b-a2b

LM-STUDIO GGUF
Good

Mar 6, 2026 · Apple M4 Pro

Global Score
66 vs 78
Hardware Fit
100 vs 100
Quality Score
51 vs 68

Hardware

deepseek-r1:1.5b lfm2-24b-a2b
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1014
RAM32 GB64 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.7.4
Archarm64arm64
Power Modebalancedbalanced

Performance

deepseek-r1:1.5b lfm2-24b-a2b
Tokens/sec85.4105.9
First chunk115 ms252 ms
TTFT115 ms252 ms
Load time0.5 sN/A
Memory usage2.6 GB0.1 GB
Memory %8%0%

HW Fit Score Breakdown

deepseek-r1:1.5b

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

lfm2-24b-a2b

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

Quality

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

lfm2-24b-a2b

Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
13/15
Math
8/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View deepseek-r1:1.5b details | View lfm2-24b-a2b 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