Does LightOn or Gemma have a free plan?

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

LightOn vs Gemma

Q: Can I use LightOn and Gemma together?

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

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

Updated May 2026

LightOn

Secure AI Search & Reasoning for Enterprise Data

0.0(0)

PAID

91% data quality

Gemma

Google DeepMind

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

0.0(0)

OPEN_SOURCE

90% data quality

Trust & Reliability

LightOn

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

GDPR

Gemma

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

Overall Winner: Gemma

7.2/10 vs LightOn at 6.7/10

Leads in:

Value for Money

Integrations

Customizability

AI Comparison Summary

LightOn

6.7

avg score

Gemma

7.2

avg score

Gemma leads overall — particularly in Integration Power.

Based on 6 dimensions

How scores are calculated

Overall Winner

Gemma

7.2 / 10

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

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

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

LightOn is best for

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

Gemma is best for

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

Filter by your use case:

Pros & Cons

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

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

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

LightOn

6.7

/ 10

Gemma

7.2

/ 10

Your pick

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

LightOn

6.0

Gemma

6.0

Output Quality

Quality and accuracy of generated results

LightOn

8.0▲ +1.0

Gemma

7.0

Value for Money

Cost vs. features and output quality

LightOn

7.0

Gemma

8.0▲ +1.0

Customizability

Calculated

Ability to tailor to specific needs

LightOn

6.0

Gemma

7.0▲ +1.0

Support & Ecosystem

Documentation, community, and support quality

LightOn

7.0

Gemma

7.0

Integration Power

Calculated

Ability to connect with other tools and workflows

LightOn

6.0

Gemma

8.0▲ +2.0

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

Task Performance

LightOn

Task

Gemma

2.0

Code Completion

7.0

2.0

Bug Detection

6.0

2.0

Code Explanation

7.0

2.0

Refactoring

6.0

2.0

Test Generation

5.0

2.0

Multi Language Support

7.0

9.0

Context Understanding

7.0

2.0

Documentation Generation

6.0

2.0

Performance Optimization

6.0

2.0

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, LightOn or Gemma?

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

Is LightOn cheaper than Gemma?

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

What are the main differences between LightOn and Gemma?

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

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