Model Comparison

Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Gemma 3n E2B Instructed LiteRT (Preview) outperforms in 0 benchmarks, while Qwen2.5 7B Instruct is better at 5 benchmarks (GPQA, HumanEval, LiveCodeBench, MBPP, MMLU-Pro).

Qwen2.5 7B Instruct significantly outperforms across most benchmarks.

Tue Apr 14 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

Tue Apr 14 2026 • llm-stats.com

Gemma 3n E2B Instructed LiteRT (Preview)

Input tokens$0.00

Output tokens$0.00

Best providerUnknown Organization

Qwen2.5 7B Instruct

Input tokens$0.30

Output tokens$0.30

Best providerTogether

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

5.7B diff

Qwen2.5 7B Instruct has 5.7B more parameters than Gemma 3n E2B Instructed LiteRT (Preview), making it 298.4% larger.

Gemma 3n E2B Instructed LiteRT (Preview)

1.9Bparameters

Qwen2.5 7B Instruct

7.6Bparameters

1.9B

Gemma 3n E2B Instructed LiteRT (Preview)

7.6B

Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Gemma 3n E2B Instructed LiteRT (Preview)

Input- tokens

Output- tokens

Qwen2.5 7B Instruct

Input131,072 tokens

Output8,192 tokens

Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3n E2B Instructed LiteRT (Preview) supports multimodal inputs, whereas Qwen2.5 7B Instruct 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)

Text

Images

Audio

Video

Qwen2.5 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while Qwen2.5 7B Instruct uses Apache 2.0.

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

Gemma 3n E2B Instructed LiteRT (Preview)

Gemma

Open weights

Qwen2.5 7B Instruct

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 Qwen2.5 7B Instruct was released on 2024-09-19.

Gemma 3n E2B Instructed LiteRT (Preview) is 8 months newer than Qwen2.5 7B Instruct.

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

10 months ago

8mo newer

Qwen2.5 7B Instruct

Sep 19, 2024

1.6 years ago

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a documented knowledge cutoff of 2024-06-01, while Qwen2.5 7B Instruct'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 Qwen2.5 7B Instruct's cutoff date.

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

Qwen2.5 7B Instruct

—

Outputs Comparison

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Key Takeaways

Gemma 3n E2B Instructed LiteRT (Preview)

View details

Google

Supports multimodal inputs

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher GPQA score (36.4% vs 24.8%)

Higher HumanEval score (84.8% vs 66.5%)

Higher LiveCodeBench score (28.7% vs 13.2%)

Higher MBPP score (79.2% vs 56.6%)

Higher MMLU-Pro score (56.3% vs 40.5%)

Detailed Comparison

AI Model Comparison Table
Feature	Gemma 3n E2B Instructed LiteRT (Preview)	Qwen2.5 7B Instruct

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2.5 7B Instruct

Qwen2.5 7B Instruct significantly outperforms across most benchmarks. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and Qwen2.5 7B Instruct 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 E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K 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 E2B Instructed LiteRT (Preview) is developed by Google and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.

Gemma 3n E2B Instructed LiteRT (Preview) vs Qwen2.5 7B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

Input Capabilities

Gemma 3n E2B Instructed LiteRT (Preview)

Qwen2.5 7B Instruct

License

Release Timeline

Knowledge Cutoff

Outputs Comparison

Key Takeaways

Gemma 3n E2B Instructed LiteRT (Preview)

Qwen2.5 7B Instruct

Detailed Comparison

FAQ

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or Qwen2.5 7B Instruct?

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to Qwen2.5 7B Instruct in benchmarks?

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and Qwen2.5 7B Instruct?

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and Qwen2.5 7B Instruct?

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and Qwen2.5 7B Instruct?