Gemma 3n E2B Instructed LiteRT (Preview) vs Hy4 preview
Hy4 preview leads the LLM Stats Score 51.1 to -9.4.
Google · Tencent · Updated for 2026
Which is better?
Hy4 preview leads the overall LLM Stats Score 51.1 to -9.4, ranking #14 overall.
In the 1 individual benchmarks reported for both models, Hy4 preview wins 1; 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 Gemma 3n E2B Instructed LiteRT (Preview)
- you are already invested in the Google ecosystem
Choose Hy4 preview
- overall performance matters — it scores 51.1 and ranks #14 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 32 for Hy4 preview
Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Hy4 preview is better at 1 benchmark (GPQA).
Hy4 preview significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Hy4 preview has 768.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 40214.1% larger.
Input capabilities
Documented input modalities across available providers
Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Hy4 preview does not.
Gemma 3n E2B Instructed LiteRT (Preview) can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3n E2B Instructed LiteRT (Preview)
Hy4 preview
License
Usage and distribution terms
Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Hy4 preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while Hy4 preview was released on 2026-08-28.
Hy4 preview is 16 months newer than Gemma 3n E2B Instructed LiteRT (Preview).
May 20, 2025
1.3 years ago
Aug 28, 2026
1 weeks ago
1.3yr newerKnowledge Cutoff
When training data ends
Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Hy4 preview's cutoff date is not specified.
We can confirm Gemma 3n E2B Instructed LiteRT (Preview)'s training data extends to 2024-06-01, but cannot make a direct comparison without Hy4 preview's cutoff date.
Jun 2024
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Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Hy4 preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Hy4 preview.
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