Model Comparison
Gemma 3n E4B Instructed LiteRT Preview vs Qwen3-Next-80B-A3B-ThinkingWhich is better in 2026?
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Verdict: Gemma 3n E4B Instructed LiteRT Preview vs Qwen3-Next-80B-A3B-Thinking — which is better?
Gemma 3n E4B Instructed LiteRT Preview (by Google) and Qwen3-Next-80B-A3B-Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 5 benchmarks (AIME 2025, GPQA, Include, MMLU-Pro, MMLU-ProX). Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Choose Gemma 3n E4B Instructed LiteRT Preview if…
- you are already invested in the Google ecosystem
Choose Qwen3-Next-80B-A3B-Thinking if…
- you want the strongest raw capability — it leads on 5 of 5 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
Performance Benchmarks
Comparative analysis across standard metrics
Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 5 benchmarks (AIME 2025, GPQA, Include, MMLU-Pro, MMLU-ProX).
Qwen3-Next-80B-A3B-Thinking significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Model Size
Parameter count comparison
Qwen3-Next-80B-A3B-Thinking has 78.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 4088.5% larger.
Context Window
Maximum input and output token capacity
Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).
Input Capabilities
Supported data types and modalities
Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking 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.
Gemma 3n E4B Instructed LiteRT Preview
Qwen3-Next-80B-A3B-Thinking
License
Usage and distribution terms
Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, while Qwen3-Next-80B-A3B-Thinking 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 E4B Instructed LiteRT Preview was released on 2025-05-20, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.
Qwen3-Next-80B-A3B-Thinking is 4 months newer than Gemma 3n E4B Instructed LiteRT Preview.
May 20, 2025
1.2 years ago
Sep 10, 2025
11 months ago
3mo newerKnowledge Cutoff
When training data ends
Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while Qwen3-Next-80B-A3B-Thinking'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 Qwen3-Next-80B-A3B-Thinking's cutoff date.
Jun 2024
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Outputs Comparison
Key Takeaways
Qwen3-Next-80B-A3B-Thinking
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemma 3n E4B Instructed LiteRT Preview and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemma 3n E4B Instructed LiteRT Preview vs Qwen3-Next-80B-A3B-Thinking.
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