DeepSeek V3.2 vs GPT-5.4: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
DeepSeek
DeepSeek V3.2
Pricing (per 1M tokens)
Input$0.2800
Output$0.4200
Cached Input$0.0280
Context & Output
Context Window128K tokens
Max Output8.2K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
OpenAI
GPT-5.4
Pricing (per 1M tokens)
Input$2.50
Output$15.00
Cached Input$0.2500
Batch Input$1.25
Batch Output$7.50
Context & Output
Context Window1.1M tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V3.2
88.8% cheaper
Cheaper Output Price
DeepSeek V3.2
97.2% cheaper
Larger Context Window
GPT-5.4
+922K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
DeepSeek V3.2
$0.7000
$0.2800/1M input + $0.4200/1M output
GPT-5.4
$17.50
$2.50/1M input + $15.00/1M output
DeepSeek V3.2 is 96.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 or GPT-5.4?
For input tokens, DeepSeek V3.2 is cheaper at $0.2800 per 1M tokens. For output tokens, DeepSeek V3.2 is cheaper at $0.4200 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of DeepSeek V3.2 vs GPT-5.4?
DeepSeek V3.2 has a context window of 128K tokens, while GPT-5.4 has 1.1M tokens. GPT-5.4 supports a larger context window of 1.1M tokens, which is beneficial for processing longer documents.
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