Head-to-head

GPT-5.6 Luna vs Gemini 2.5 Pro

This page compares an efficient OpenAI route against a leading Google route so teams can choose based on current pricing, context, and provider fit.

2 modelsLive catalog comparison

PriceCurrent TVP token pricing

ContextCurrent listed window sizes

Fast answer

Choose on the workflow, then use live metrics as the tiebreaker

Choose Luna when route cost and OpenAI workflow fit are the main priorities

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 428 public model records and was synchronized Jul 14, 2026, 9:36 PM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Head to head

Current live model comparison

openai

OpenAI: GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Context1,050,000

Input$1.00

Output$6.00

file
image
text
tools
structured

Model details Provider page

google

Google: Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

Context1,048,576

Input$1.25

Output$10.00

text
image
file
audio
video
tools
structured

Model details Provider page

Comparison FAQ

How to use this decision page

What is the fastest way to choose between these two?

Start with the workflow. If one provider already fits your stack better, price and context become the tiebreakers rather than the primary decision.

Is Luna always the cheaper option?

Not necessarily over time. This page exists so the comparison stays tied to current live pricing instead of assumptions.