Does Gemma or LightOn have a free plan?

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

Gemma vs LightOn

Q: Can I use Gemma and LightOn together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine Gemma and LightOn 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

LightOn

Secure AI Search & Reasoning for Enterprise Data

0.0(0)

PAID

91% data quality

Trust & Reliability

Gemma

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

LightOn

Customers (per vendor):Safran, Babbar, Region Ile De France

GDPR

Overall Winner: Gemma

7.2/10 vs LightOn at 6.7/10

Leads in:

Value for Money

Integrations

Customizability

AI Comparison Summary

Gemma

7.2

avg score

LightOn

6.7

avg score

Gemma leads overall — particularly in Integration Power.

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

LightOn

Best For

Implementing secure AI search on internal knowledge bases

Automating RFP responses with reliable content

Powering self-service customer support portals

Developing AI-powered internal assistants

Not Ideal For

Individuals or small teams seeking a free or low-cost AI search solution

Users who prefer fully managed SaaS solutions without data residency concerns

Organizations without significant internal IT resources for deployment and management

* 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

LightOn is best for

✍️Writing & Content9.0💬Chat & Conversation9.0

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

LightOn

Pros

Ensures zero data exfiltration with on-premise or sovereign cloud deployment
Handles massive, multimodal unstructured data including complex formats like images and diagrams
Supports advanced search behaviors like conversational Q&A and agentic reasoning
Mirrors native permissions (ACLs) for strict data governance and segregation
Offers both API for developers and ready-to-use white-label interface for business teams
GDPR compliant and SOC 2 Type 1 compliant

Cons

Requires significant hardware (GPU) investment for on-premise deployment
SOC 2 Type 1 is mentioned, not Type II certification
Deployment takes about three weeks, which might be long for some use cases
No explicit mention of a free tier or transparent pricing

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

LightOn

6.7

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

Gemma

6.0

LightOn

6.0

Output Quality

Quality and accuracy of generated results

Gemma

7.0

LightOn

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

Gemma

8.0▲ +1.0

LightOn

7.0

Customizability

Calculated

Ability to tailor to specific needs

Gemma

7.0▲ +1.0

LightOn

6.0

Support & Ecosystem

Documentation, community, and support quality

Gemma

7.0

LightOn

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

Gemma

8.0▲ +2.0

LightOn

6.0

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

Task Performance

Gemma

Task

LightOn

7.0

Code Completion

2.0

6.0

Bug Detection

2.0

7.0

Code Explanation

2.0

6.0

Refactoring

2.0

5.0

Test Generation

2.0

7.0

Multi Language Support

2.0

7.0

Context Understanding

9.0

6.0

Documentation Generation

2.0

6.0

Performance Optimization

2.0

5.0

Security Scanning

2.0

* 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 LightOn?

Both are strong options. Gemma has a rating of 0.0/5 (0 reviews), while LightOn 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 LightOn?

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

What are the main differences between Gemma and LightOn?

Gemma — "Customize and deploy open-weight AI models for innovative applications.". LightOn — "Secure AI Search & Reasoning for Enterprise Data". 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 LightOn together?

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