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Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-6 Luna

GPT-6 Luna leads the LLM Stats Score 44.5 to -9.6.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to -9.6, ranking #40 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3n E2B Instructed LiteRT (Preview)

  • you need open weights you can self-host or fine-tune

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #40 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Gemma 3n E2B Instructed LiteRT (Preview)
Google
GPT-6 Luna
OpenAI
Core performance indexes
LLM Stats Score
-9.6
#371
44.5
#40
Reasoning
-9.8
#364
40.0
#58
Coding
-4.4
#262
31.4
#47
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,050,000

Individual benchmarks

28 reported for Gemma 3n E2B Instructed LiteRT (Preview) · 5 for GPT-6 Luna

No common benchmarks found

Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Lunadon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed LiteRT (Preview)
Input- tokens
Output- tokens
OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Luna support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3n E2B Instructed LiteRT (Preview)

Text
Images
Audio
Video

GPT-6 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3n E2B Instructed LiteRT (Preview) is licensed under Gemma, while GPT-6 Luna uses a proprietary license.

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

GPT-6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed LiteRT (Preview) was released on 2025-05-20, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 16 months newer than Gemma 3n E2B Instructed LiteRT (Preview).

Gemma 3n E2B Instructed LiteRT (Preview)

May 20, 2025

1.3 years ago

GPT-6 Luna

Sep 22, 2026

0 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed LiteRT (Preview) has a knowledge cutoff of 2024-06-01, while GPT-6 Luna has a cutoff of 2026-05-18.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Gemma 3n E2B Instructed LiteRT (Preview) (2024-06-01).

Gemma 3n E2B Instructed LiteRT (Preview)

Jun 2024

GPT-6 Luna

May 2026

1.9 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Luna side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed LiteRT (Preview)
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about Gemma 3n E2B Instructed LiteRT (Preview) vs GPT-6 Luna.

Which is better, Gemma 3n E2B Instructed LiteRT (Preview) or GPT-6 Luna?

GPT-6 Luna leads the LLM Stats Score 44.5 to -9.6. Gemma 3n E2B Instructed LiteRT (Preview) is made by Google and GPT-6 Luna is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3n E2B Instructed LiteRT (Preview) compare to GPT-6 Luna in benchmarks?

Gemma 3n E2B Instructed LiteRT (Preview) scores PIQA: 78.9%, BoolQ: 76.4%, ARC-E: 75.8%, HellaSwag: 72.2%, Winogrande: 66.8%. GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%.

What are the context window sizes for Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Luna?

Gemma 3n E2B Instructed LiteRT (Preview) supports an unknown number of tokens and GPT-6 Luna supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Luna?

Key differences include LLM Stats Score (-9.6 vs 44.5), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3n E2B Instructed LiteRT (Preview) and GPT-6 Luna?

Gemma 3n E2B Instructed LiteRT (Preview) is developed by Google and GPT-6 Luna is developed by OpenAI.

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