Model Comparison

Gemma 3n E4B Instructed LiteRT Preview vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E4B Instructed LiteRT Preview outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 5 benchmarks (AIME 2025, GPQA, Include, MMLU-Pro, MMLU-ProX).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemma 3n E4B Instructed LiteRT Preview
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

233.1B diff

Qwen3-235B-A22B-Instruct-2507 has 233.1B more parameters than Gemma 3n E4B Instructed LiteRT Preview, making it 12203.7% larger.

Google
Gemma 3n E4B Instructed LiteRT Preview
1.9Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
1.9B
Gemma 3n E4B Instructed LiteRT Preview
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Google
Gemma 3n E4B Instructed LiteRT Preview
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E4B Instructed LiteRT Preview supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 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

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E4B Instructed LiteRT Preview is licensed under Gemma, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3n E4B Instructed LiteRT Preview

Gemma

Open weights

Qwen3-235B-A22B-Instruct-2507

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 Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 2 months newer than Gemma 3n E4B Instructed LiteRT Preview.

Gemma 3n E4B Instructed LiteRT Preview

May 20, 2025

11 months ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

8 months ago

2mo newer

Knowledge Cutoff

When training data ends

Gemma 3n E4B Instructed LiteRT Preview has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Gemma 3n E4B Instructed LiteRT Preview

Jun 2024

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher AIME 2025 score (70.3% vs 11.6%)
Higher GPQA score (77.5% vs 23.7%)
Higher Include score (79.5% vs 57.2%)
Higher MMLU-Pro score (83.0% vs 50.6%)
Higher MMLU-ProX score (79.4% vs 19.9%)

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemma 3n E4B Instructed LiteRT Preview
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Gemma 3n E4B Instructed LiteRT Preview vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Gemma 3n E4B Instructed LiteRT Preview is made by Google and Qwen3-235B-A22B-Instruct-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemma 3n E4B Instructed LiteRT Preview scores ARC-E: 81.6%, BoolQ: 81.6%, PIQA: 81.0%, HellaSwag: 78.6%, HumanEval: 75.0%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.
Gemma 3n E4B Instructed LiteRT Preview supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Gemma vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemma 3n E4B Instructed LiteRT Preview is developed by Google and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.