GPT-5 nano vs DeepSeek V4 Pro (0813): Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 nano
Pricing (per 1M tokens)
Input$0.0500
Output$0.4000
Cached Input$0.005000
Batch Input$0.0250
Batch Output$0.2000
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext
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-5 nano
96.2% cheaper
Cheaper Output Price
GPT-5 nano
89.9% cheaper
Larger Context Window
DeepSeek V4 Pro (0813)
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 nano
$0.4500
$0.0500/1M input + $0.4000/1M output
DeepSeek V4 Pro (0813)
$5.28
$1.32/1M input + $3.96/1M output
GPT-5 nano is 91.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 nano or DeepSeek V4 Pro (0813)?
For input tokens, GPT-5 nano is cheaper at $0.0500 per 1M tokens. For output tokens, GPT-5 nano is cheaper at $0.4000 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5 nano vs DeepSeek V4 Pro (0813)?
GPT-5 nano has a context window of 400K tokens, while DeepSeek V4 Pro (0813) has 1M tokens. DeepSeek V4 Pro (0813) supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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