Model Comparison

Gemma 3n E2B Instructed vs GPT-5.6 LunaWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks.

Verdict: Gemma 3n E2B Instructed vs GPT-5.6 Luna — which is better?

Gemma 3n E2B Instructed (by Google) and GPT-5.6 Luna (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (GPQA). GPT-5.6 Luna significantly outperforms across most benchmarks.

Choose Gemma 3n E2B Instructed if…

  • you are already invested in the Google ecosystem

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemma 3n E2B Instructed outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (GPQA).

GPT-5.6 Luna significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5.6 Luna specifies input context (1,050,000 tokens). Only GPT-5.6 Luna specifies output context (128,000 tokens).

Google
Gemma 3n E2B Instructed
Input- tokens
Output- tokens
OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3n E2B Instructed and GPT-5.6 Luna support multimodal inputs.

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

Gemma 3n E2B Instructed

Text
Images
Audio
Video

GPT-5.6 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemma 3n E2B Instructed

Proprietary

Closed source

GPT-5.6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3n E2B Instructed was released on 2025-06-26, while GPT-5.6 Luna was released on 2026-07-09.

GPT-5.6 Luna is 13 months newer than Gemma 3n E2B Instructed.

Gemma 3n E2B Instructed

Jun 26, 2025

1.1 years ago

GPT-5.6 Luna

Jul 9, 2026

2 weeks ago

1.0yr newer

Knowledge Cutoff

When training data ends

Gemma 3n E2B Instructed has a knowledge cutoff of 2024-06-01, while GPT-5.6 Luna has a cutoff of 2026-02-16.

GPT-5.6 Luna has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Gemma 3n E2B Instructed (2024-06-01).

Gemma 3n E2B Instructed

Jun 2024

GPT-5.6 Luna

Feb 2026

1.7 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google

No standout differentiators in the data we have for this pair.

OpenAI
Larger context window (1,050,000 tokens)
Higher GPQA score (92.3% vs 24.8%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3n E2B Instructed and GPT-5.6 Luna side-by-side, then vote on the output you prefer.

Gemma 3n E2B Instructed
✓ Preferred
GPT-5.6 Luna
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3n E2B Instructed
OpenAI
GPT-5.6 Luna

FAQ

Common questions about Gemma 3n E2B Instructed vs GPT-5.6 Luna.

Which is better, Gemma 3n E2B Instructed or GPT-5.6 Luna?

GPT-5.6 Luna significantly outperforms across most benchmarks. Gemma 3n E2B Instructed is made by Google and GPT-5.6 Luna is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemma 3n E2B Instructed compare to GPT-5.6 Luna in benchmarks?

Gemma 3n E2B Instructed scores HumanEval: 66.5%, MMLU: 60.1%, Global-MMLU-Lite: 59.0%, MBPP: 56.6%, Global-MMLU: 55.1%. GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%.

What are the context window sizes for Gemma 3n E2B Instructed and GPT-5.6 Luna?

Gemma 3n E2B Instructed supports an unknown number of tokens and GPT-5.6 Luna supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Gemma 3n E2B Instructed and GPT-5.6 Luna?

Gemma 3n E2B Instructed is developed by Google and GPT-5.6 Luna is developed by OpenAI.

Related comparisons