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Gemini Diffusion vs GPT-6 Luna

GPT-6 Luna leads the LLM Stats Score 44.5 to 0.9.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 0.9, ranking #41 overall.

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

Choose Gemini Diffusion

  • you are already invested in the Google ecosystem

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 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.

Gemini Diffusion
Google
GPT-6 Luna
OpenAI
Core performance indexes
LLM Stats Score
0.9
#329
44.5
#41
Reasoning
0.9
#321
40.0
#58
Coding
2.8
#227
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

10 reported for Gemini Diffusion · 5 for GPT-6 Luna

No common benchmarks found

Gemini Diffusion 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
Gemini Diffusion
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

GPT-6 Luna supports multimodal inputs, whereas Gemini Diffusion does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini Diffusion

Text
Images
Audio
Video

GPT-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.

Gemini Diffusion

Proprietary

Closed source

GPT-6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini Diffusion was released on 2025-05-20, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 16 months newer than Gemini Diffusion.

Gemini Diffusion

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

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Gemini Diffusion's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Gemini Diffusion's cutoff date.

Gemini Diffusion

—

GPT-6 Luna

May 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini Diffusion and GPT-6 Luna side-by-side, then vote on the output you prefer.

Gemini Diffusion
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about Gemini Diffusion vs GPT-6 Luna.

Which is better, Gemini Diffusion or GPT-6 Luna?

GPT-6 Luna leads the LLM Stats Score 44.5 to 0.9. Gemini Diffusion 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 Gemini Diffusion compare to GPT-6 Luna in benchmarks?

Gemini Diffusion scores HumanEval: 89.6%, MBPP: 76.0%, Global-MMLU-Lite: 69.1%, LBPP (v2): 56.8%, BigCodeBench: 45.4%. 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 Gemini Diffusion and GPT-6 Luna?

Gemini Diffusion 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 Gemini Diffusion and GPT-6 Luna?

Key differences include LLM Stats Score (0.9 vs 44.5), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini Diffusion and GPT-6 Luna?

Gemini Diffusion is developed by Google and GPT-6 Luna is developed by OpenAI.

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