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Gemini 2.0 Flash Thinking vs GPT-6 Luna

GPT-6 Luna leads the LLM Stats Score 44.5 to 16.7.

Google · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 16.7, ranking #41 overall.

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

Choose Gemini 2.0 Flash Thinking

  • 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 — 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 2.0 Flash Thinking
Google
GPT-6 Luna
OpenAI
Core performance indexes
LLM Stats Score
16.7
#225
44.5
#41
Reasoning
17.0
#218
40.0
#58
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.10 / M
Output price
— / M
$0.50 / M
Context window
—
1,050,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 5 for GPT-6 Luna

No common benchmarks found

Gemini 2.0 Flash Thinking 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 2.0 Flash Thinking
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 Gemini 2.0 Flash Thinking and GPT-6 Luna support multimodal inputs.

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

Gemini 2.0 Flash Thinking

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 2.0 Flash Thinking

Proprietary

Closed source

GPT-6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 20 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

GPT-6 Luna

Sep 22, 2026

0 days ago

1.7yr newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a knowledge cutoff of 2024-08-01, 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 Gemini 2.0 Flash Thinking (2024-08-01).

Gemini 2.0 Flash Thinking

Aug 2024

GPT-6 Luna

May 2026

1.8 yr newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and GPT-6 Luna side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs GPT-6 Luna.

Which is better, Gemini 2.0 Flash Thinking or GPT-6 Luna?

GPT-6 Luna leads the LLM Stats Score 44.5 to 16.7. Gemini 2.0 Flash Thinking 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 2.0 Flash Thinking compare to GPT-6 Luna in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. 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 2.0 Flash Thinking and GPT-6 Luna?

Gemini 2.0 Flash Thinking 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 2.0 Flash Thinking and GPT-6 Luna?

Key differences include LLM Stats Score (16.7 vs 44.5). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and GPT-6 Luna?

Gemini 2.0 Flash Thinking is developed by Google and GPT-6 Luna is developed by OpenAI.

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