DeepSeek R1 Distill Qwen 14B vs Gemma 3n E4B Instructed LiteRT Preview
DeepSeek R1 Distill Qwen 14B leads the LLM Stats Score 10.9 to -5.2.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 14B leads the overall LLM Stats Score 10.9 to -5.2, ranking #259 overall.
In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 14B wins 2; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 14B
- overall performance matters — it scores 10.9 and ranks #259 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
Choose Gemma 3n E4B Instructed LiteRT Preview
- you want the most recent training data — it shipped May 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 14B · 28 for Gemma 3n E4B Instructed LiteRT Preview
DeepSeek R1 Distill Qwen 14B outperforms in 2 benchmarks (GPQA, LiveCodeBench), while Gemma 3n E4B Instructed LiteRT Preview is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 14B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek R1 Distill Qwen 14B has 12.9B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 674.9% larger.
Input capabilities
Documented input modalities across available providers
Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 14B does not.
Gemma 3n E4B Instructed LiteRT Preview can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek R1 Distill Qwen 14B
Gemma 3n E4B Instructed LiteRT Preview
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 14B is licensed under MIT, while Gemma 3n E4B Instructed LiteRT Preview uses Gemma.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Gemma
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 14B was released on 2025-01-20, while Gemma 3n E4B Instructed LiteRT Preview was released on 2025-05-20.
Gemma 3n E4B Instructed LiteRT Preview is 4 months newer than DeepSeek R1 Distill Qwen 14B.
Jan 20, 2025
1.6 years ago
May 20, 2025
1.3 years ago
4mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Qwen 14B's cutoff date is not specified.
We can confirm Gemma 3n E4B Instructed LiteRT Preview's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek R1 Distill Qwen 14B's cutoff date.
—
Jun 2024
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 14B and Gemma 3n E4B Instructed LiteRT Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 14B vs Gemma 3n E4B Instructed LiteRT Preview.
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