Model Comparison

Gemini 2.5 Flash-Lite vs GPT-5.6 LunaWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 12.9x cheaper per token.

Verdict: Gemini 2.5 Flash-Lite vs GPT-5.6 Luna — which is better?

Gemini 2.5 Flash-Lite (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.

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (GPQA). GPT-5.6 Luna significantly outperforms across most benchmarks.

On price, Gemini 2.5 Flash-Lite is roughly 12.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.5 Flash-Lite if…

  • cost matters — it's about 12.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 2.5 Flash-Lite 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 19 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 10.0x cheaper than GPT-5.6 Luna ($1.00/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 15.0x cheaper than GPT-5.6 Luna ($6.00/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Gemini 2.5 Flash-Lite.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jul 19 2026 • llm-stats.com
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Luna accepts 1,050,000 input tokens compared to Gemini 2.5 Flash-Lite's 1,048,576 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Sun Jul 19 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash-Lite and GPT-5.6 Luna support multimodal inputs.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

GPT-5.6 Luna

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while GPT-5.6 Luna uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

GPT-5.6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while GPT-5.6 Luna was released on 2026-07-09.

GPT-5.6 Luna is 13 months newer than Gemini 2.5 Flash-Lite.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.1 years ago

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a knowledge cutoff of 2025-01-01, 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 Gemini 2.5 Flash-Lite (2025-01-01).

Gemini 2.5 Flash-Lite

Jan 2025

GPT-5.6 Luna

Feb 2026

1.1 yr newer

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. GPT-5.6 Luna is available from OpenAI.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (1,050,000 tokens)
Higher GPQA score (92.3% vs 64.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and GPT-5.6 Luna side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
GPT-5.6 Luna
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
OpenAI
GPT-5.6 Luna

FAQ

Common questions about Gemini 2.5 Flash-Lite vs GPT-5.6 Luna.

Which is better, Gemini 2.5 Flash-Lite or GPT-5.6 Luna?

GPT-5.6 Luna significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite 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 Gemini 2.5 Flash-Lite compare to GPT-5.6 Luna in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. 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%.

Is Gemini 2.5 Flash-Lite cheaper than GPT-5.6 Luna?

Gemini 2.5 Flash-Lite is 10.0x cheaper for input tokens. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google. GPT-5.6 Luna costs $1.00/M input and $6.00/M output via openai.

What are the context window sizes for Gemini 2.5 Flash-Lite and GPT-5.6 Luna?

Gemini 2.5 Flash-Lite supports 1.0M 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.

What are the main differences between Gemini 2.5 Flash-Lite and GPT-5.6 Luna?

Key differences include context window (1.0M vs 1.1M), input pricing ($0.10 vs $1.00/M), licensing (Creative Commons Attribution 4.0 License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and GPT-5.6 Luna?

Gemini 2.5 Flash-Lite is developed by Google and GPT-5.6 Luna is developed by OpenAI.

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