GPT-6 Luna vs DeepSeek V4 Pro (0813): 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
DeepSeek
DeepSeek V4 Pro (0813)
Pricing (per 1M tokens)
Input$1.32
Output$3.96
Cached Input$0.0440
Context & Output
Context Window1M tokens
Max Output384K tokens
Capabilities
Categoryflagship
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-6 Luna
92.4% cheaper
Cheaper Output Price
GPT-6 Luna
87.4% cheaper
Larger Context Window
DeepSeek V4 Pro (0813)
+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
DeepSeek V4 Pro (0813)
$5.28
$1.32/1M input + $3.96/1M output
GPT-6 Luna is 88.6% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-6 Luna or DeepSeek V4 Pro (0813)?
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 DeepSeek V4 Pro (0813)?
GPT-6 Luna has a context window of 1M tokens, while DeepSeek V4 Pro (0813) has 1M tokens. GPT-6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.