GPT-5.6 Luna vs Gemini 3.1 Flash Lite: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Luna
Pricing (per 1M tokens)
Input$0.2000
Output$1.20
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6000
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
Gemini 3.1 Flash Lite
Pricing (per 1M tokens)
Input$0.2500
Output$1.50
Cached Input$0.0250
Batch Input$0.1250
Batch Output$0.7500
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categorybudget
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Luna
20.0% cheaper
Cheaper Output Price
GPT-5.6 Luna
20.0% cheaper
Larger Context Window
Gemini 3.1 Flash Lite
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.6 Luna
$1.40
$0.2000/1M input + $1.20/1M output
Gemini 3.1 Flash Lite
$1.75
$0.2500/1M input + $1.50/1M output
GPT-5.6 Luna is 20.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or Gemini 3.1 Flash Lite?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.6 Luna is cheaper at $1.20 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Luna vs Gemini 3.1 Flash Lite?
GPT-5.6 Luna has a context window of 1M tokens, while Gemini 3.1 Flash Lite has 1M tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.6 Luna and Gemini 3.1 Flash Lite compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.6 Luna offers a better batch rate at $0.1000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.