Does Gemma or Qwen have a free plan?

Gemma is a paid tool. Qwen is a paid tool. Always verify current pricing directly with the vendor.

Gemma vs Qwen

Q: Can I use Gemma and Qwen together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Gemma and Qwen with other tools and save your AI toolkit.

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

Gemma

Google DeepMind

Customize and deploy open-weight AI models for innovative applications.

0.0(0)

OPEN_SOURCE

90% data quality

Qwen

Alibaba Cloud

An open-source AI assistant for creative projects, research, and web development

0.0(0)

OPEN_SOURCE

86% data quality

Trust & Reliability

Gemma

Customers (per vendor):Tldraw, Rooms, Toonsutra +4

Qwen

Trust data not available yet

Too Close to Call

Gemma (7.2) vs Qwen (7.0) — difference of 0.2 points

AI Comparison Summary

Gemma

7.2

avg score

Qwen

7.0

avg score

Gemma leads overall — particularly in Integration Power.

Qwen has an edge in Value for Money.

Based on 6 dimensions

How scores are calculated

Overall Winner

Gemma

7.2 / 10

Gemma

Best For

Building custom AI solutions for developers

Deploying AI models on edge devices

Fine-tuning language models with proprietary data

Developing AI applications with complete model control

Not Ideal For

Non-technical users seeking a ready-to-use AI application

Users requiring a fully managed, cloud-hosted LLM API without local deployment

Businesses needing enterprise-grade support and compliance for the model itself without using Vertex AI

Qwen

Best For

Generating creative visuals from ideas

Conducting comprehensive multi-step research

Developing functional websites without coding

Solving complex problems with AI-driven reasoning

Not Ideal For

Users requiring extensive third-party integrations beyond OpenAI API compatibility

Organizations needing enterprise-grade SSO or advanced team management features

Users who require dedicated phone or premium support channels

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Gemma is best for

✍️Writing & Content7.0💬Chat & Conversation7.0🤖Automation & Agents7.0

Qwen is best for

✍️Writing & Content8.0💬Chat & Conversation8.0💻Coding & Dev7.2

Filter by your use case:

Pros & Cons

Gemma

Pros

Open-weight models provide full control and customization
Built from the same research as Gemini models
Optimized for efficient performance on various devices (mobile, laptop, tablet)
Supports multi-framework development (Keras)
Free to use for development and small projects
Integration with Google AI Studio and Colab for easy experimentation and fine-tuning

Cons

Requires technical expertise for deployment and customization
No direct cloud-hosted API for Gemma itself (unlike Gemini)
Performance depends on local device capabilities for on-device deployment
Content used to improve Google products in the free tier
No dedicated support channels for the free/open-source offering

Qwen

Pros

Free to use and open to all users
Offers a wide range of multimodal AI capabilities
API is compatible with OpenAI API, simplifying integration
Provides desktop and mobile applications for accessibility
Leverages open-source models for transparency and flexibility

Cons

Specific integrations beyond OpenAI API compatibility are not detailed
No explicit team collaboration features mentioned
Support level information is not provided
Data export formats are not specified

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

Gemma

7.2

/ 10

Your pick

Qwen

7.0

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Gemma

6.0

Qwen

7.0▲ +1.0

Output Quality

Quality and accuracy of generated results

Gemma

7.0

Qwen

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

Gemma

8.0

Qwen

10.0▲ +2.0

Customizability

Calculated

Ability to tailor to specific needs

Gemma

7.0

Qwen

7.0

Support & Ecosystem

Documentation, community, and support quality

Gemma

7.0▲ +1.0

Qwen

6.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Gemma

8.0▲ +4.0

Qwen

4.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

Gemma

Task

Qwen

7.0

Code Completion

8.0

6.0

Bug Detection

7.0

Code Explanation

8.0

6.0

Refactoring

7.0

5.0

Test Generation

6.0

7.0

Multi Language Support

7.0

Context Understanding

8.0

6.0

Documentation Generation

7.0

6.0

Performance Optimization

7.0

5.0

Security Scanning

5.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, Gemma or Qwen?

Both are strong options. Gemma has a rating of 0.0/5 (0 reviews), while Qwen has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is Gemma cheaper than Qwen?

Gemma starts at free (open_source model). Qwen starts at free (open_source model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between Gemma and Qwen?

Gemma — "Customize and deploy open-weight AI models for innovative applications.". Qwen — "An open-source AI assistant for creative projects, research, and web development". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

Can I use Gemma and Qwen together?

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