Gemini 3.7 Flash vs GPT-5.6 Luna
Gemini 3.7 Flash leads the LLM Stats Score 50.9 to 46.5. GPT-5.6 Luna is 3.3x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 3.7 Flash leads the overall LLM Stats Score 50.9 to 46.5, ranking #13 overall.
In the 9 individual benchmarks reported for both models, Gemini 3.7 Flash wins 7; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5.6 Luna is roughly 3.3x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.7 Flash
- overall performance matters — it scores 50.9 and ranks #13 on LLM Stats
- you value its reported benchmark strengths — it wins 7 of 9 exact shared results
- you want the most recent training data — it shipped Aug 2026
Choose GPT-5.6 Luna
- cost matters — it's about 3.3x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
18 reported for Gemini 3.7 Flash · 44 for GPT-5.6 Luna
Gemini 3.7 Flash outperforms in 7 benchmarks (Artificial Analysis, AutomationBench, FrontierCode 1.1, GDP.pdf, MRCR v2 (8-needle), OSWorld 2.0, Terminal-Bench 2.1), while GPT-5.6 Luna is better at 2 benchmarks (Agents' Last Exam, DeepSWE 1.1).
Gemini 3.7 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 3.8x more expensive than GPT-5.6 Luna ($0.20/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 3.1x more expensive than GPT-5.6 Luna ($1.20/1M tokens).
In conclusion, Gemini 3.7 Flash is more expensive than GPT-5.6 Luna.*
* 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 3.7 Flash's 1,048,576 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.7 Flash and GPT-5.6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
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 3.7 Flash was released on 2026-08-13, while GPT-5.6 Luna was released on 2026-07-09.
Gemini 3.7 Flash is 1 month newer than GPT-5.6 Luna.
Aug 13, 2026
2 weeks ago
1mo newerJul 9, 2026
1 months ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a knowledge cutoff of 2026-03-31, while GPT-5.6 Luna has a cutoff of 2026-02-16.
Gemini 3.7 Flash has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to GPT-5.6 Luna (2026-02-16).
Mar 2026
1 mo newerFeb 2026
Provider Availability
Gemini 3.7 Flash is available from Google. GPT-5.6 Luna is available from OpenAI.
Gemini 3.7 Flash
GPT-5.6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs GPT-5.6 Luna.