GPT-6 Luna vs Gemini 3.1 Pro: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-6 Luna
Pricing (per 1M tokens)
Input$0.1000
Output$0.5000
Cached Input$0.0100
Batch Input$0.0500
Batch Output$0.2500
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
Gemini 3.1 Pro
Pricing (per 1M tokens)
Input$2.00
Output$12.00
Cached Input$0.2000
Batch Input$1.00
Batch Output$6.00
Context & Output
Context Window1M tokens
Max Output65.5K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-6 Luna
95.0% cheaper
Cheaper Output Price
GPT-6 Luna
95.8% cheaper
Larger Context Window
Gemini 3.1 Pro
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-6 Luna
$0.6000
$0.1000/1M input + $0.5000/1M output
Gemini 3.1 Pro
$14.00
$2.00/1M input + $12.00/1M output
GPT-6 Luna is 95.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-6 Luna or Gemini 3.1 Pro?
For input tokens, GPT-6 Luna is cheaper at $0.1000 per 1M tokens. For output tokens, GPT-6 Luna is cheaper at $0.5000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-6 Luna vs Gemini 3.1 Pro?
GPT-6 Luna has a context window of 1M tokens, while Gemini 3.1 Pro has 1M tokens. GPT-6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-6 Luna and Gemini 3.1 Pro compare for batch processing?
Both models support batch processing with discounted rates. GPT-6 Luna offers a better batch rate at $0.0500 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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