Model Comparison
Gemini 1.5 Flash 8B vs GPT-5.6 LunaWhich is better in 2026?
GPT-5.6 Luna significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 17.6x cheaper per token.
Verdict: Gemini 1.5 Flash 8B vs GPT-5.6 Luna — which is better?
Gemini 1.5 Flash 8B (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 1.5 Flash 8B 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 1.5 Flash 8B is roughly 17.6x 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 1.5 Flash 8B if…
- cost matters — it's about 17.6x cheaper per token
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
Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (GPQA).
GPT-5.6 Luna significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 14.3x cheaper than GPT-5.6 Luna ($1.00/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 20.0x cheaper than GPT-5.6 Luna ($6.00/1M tokens).
In conclusion, GPT-5.6 Luna is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Luna accepts 1,050,000 input tokens compared to Gemini 1.5 Flash 8B's 1,048,576 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 1.5 Flash 8B and GPT-5.6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 1.5 Flash 8B
GPT-5.6 Luna
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 1.5 Flash 8B was released on 2024-03-15, while GPT-5.6 Luna was released on 2026-07-09.
GPT-5.6 Luna is 28 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.3 years ago
Jul 9, 2026
1 weeks ago
2.3yr newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, 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 1.5 Flash 8B (2024-10-01).
Oct 2024
Feb 2026
1.3 yr newerProvider Availability
Gemini 1.5 Flash 8B is available from Google. GPT-5.6 Luna is available from OpenAI.
Gemini 1.5 Flash 8B
GPT-5.6 Luna
Outputs Comparison
Key Takeaways
GPT-5.6 Luna
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 1.5 Flash 8B vs GPT-5.6 Luna.