Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 235B A22B
Qwen3 235B A22B leads the LLM Stats Score 15.6 to -9.6.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 235B A22B leads the overall LLM Stats Score 15.6 to -9.6, ranking #229 overall.
In the 8 individual benchmarks reported for both models, Qwen3 235B A22B wins 8; 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 want the most recent training data — it shipped May 2025
Choose Qwen3 235B A22B
- overall performance matters — it scores 15.6 and ranks #229 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 8 exact shared results
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) · 23 for Qwen3 235B A22B
Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Qwen3 235B A22B is better at 8 benchmarks (AIME 2025, GPQA, Include, LiveCodeBench, MBPP, MGSM, MMLU, MMLU-Pro).
Qwen3 235B A22B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 235B A22B has 233.1B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 12203.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Qwen3 235B A22B 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)
Qwen3 235B A22B
License
Usage and distribution terms
Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Qwen3 235B A22B 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 Qwen3 235B A22B was released on 2025-04-29.
Gemma 3n E2B Instructed LiteRT (Preview) is 1 month newer than Qwen3 235B A22B.
May 20, 2025
1.3 years ago
3w newerApr 29, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Qwen3 235B A22B'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 Qwen3 235B A22B's cutoff date.
Jun 2024
—
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen3 235B A22B.
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