DeepSeek V4 Pro (0813) vs GPT-5.2: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
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
OpenAI
GPT-5.2
Pricing (per 1M tokens)
Input$1.75
Output$14.00
Cached Input$0.1750
Batch Input$0.8750
Batch Output$7.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V4 Pro (0813)
24.6% cheaper
Cheaper Output Price
DeepSeek V4 Pro (0813)
71.7% cheaper
Larger Context Window
DeepSeek V4 Pro (0813)
+600K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
DeepSeek V4 Pro (0813)
$5.28
$1.32/1M input + $3.96/1M output
GPT-5.2
$15.75
$1.75/1M input + $14.00/1M output
DeepSeek V4 Pro (0813) is 66.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V4 Pro (0813) or GPT-5.2?
For input tokens, DeepSeek V4 Pro (0813) is cheaper at $1.32 per 1M tokens. For output tokens, DeepSeek V4 Pro (0813) is cheaper at $3.96 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of DeepSeek V4 Pro (0813) vs GPT-5.2?
DeepSeek V4 Pro (0813) has a context window of 1M tokens, while GPT-5.2 has 400K tokens. DeepSeek V4 Pro (0813) supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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