Back to leaderboard

deepseek-r1:1.5b

OLLAMA GGUF

qwen2 · 1.8B · Q4_K_M

Not Rec.

Apr 29, 2026 · Intel Core™ i5-8350U

lfm2-24b-a2b

LM-STUDIO GGUF
Not Rec.

Mar 6, 2026 · Apple M4 Pro

Global Score
37 vs 18
Hardware Fit
73 vs 59
Quality Score
22 vs 0

Hardware

deepseek-r1:1.5b lfm2-24b-a2b
MachineLENOVO 20L7CTO1WWMac mini
CPUIntel Core™ i5-8350UApple M4 Pro
Cores814
RAM23 GB64 GB
GPUKaby Lake-R GT2 [UHD Graphics 620]Apple M4 Pro
OSFedora Linux 43macOS 15.7.4
Archx64arm64
Power Modelow-powerbalanced

Performance

deepseek-r1:1.5b lfm2-24b-a2b
Tokens/sec18.46.6
First chunk593 ms1025 ms
TTFT30.0 s1.0 s
Load time3.8 sN/A
Memory usage1.0 GB0.0 GB
Memory %4%0%

HW Fit Score Breakdown

deepseek-r1:1.5b

Speed
43/50
TTFT
0/20
Memory
30/30

lfm2-24b-a2b

Speed
9/50
TTFT
20/20
Memory
30/30

Quality

deepseek-r1:1.5b

Reasoning
4/20
Coding
0/20
Instruction
5/20
Structured
3/15
Math
7/15
Multilingual
3/10
Reasoning: Poor Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Weak Multilingual: Weak

lfm2-24b-a2b

Reasoning
0/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor
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