DeepSeek V3.2 Reasoner vs GPT-5: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
DeepSeek
DeepSeek V3.2 Reasoner
Pricing (per 1M tokens)
Input$0.2800
Output$0.4200
Cached Input$0.0280
Context & Output
Context Window128K tokens
Max Output64K tokens
Capabilities
Categorymid
Multimodaltext
Fine-tuningNo
StreamingYes
OpenAI
GPT-5
Pricing (per 1M tokens)
Input$1.25
Output$10.00
Cached Input$0.1250
Batch Input$0.6250
Batch Output$5.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image + audio
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V3.2 Reasoner
77.6% cheaper
Cheaper Output Price
DeepSeek V3.2 Reasoner
95.8% cheaper
Larger Context Window
GPT-5
+272K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
DeepSeek V3.2 Reasoner
$0.7000
$0.2800/1M input + $0.4200/1M output
GPT-5
$11.25
$1.25/1M input + $10.00/1M output
DeepSeek V3.2 Reasoner is 93.8% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 Reasoner or GPT-5?
For input tokens, DeepSeek V3.2 Reasoner is cheaper at $0.2800 per 1M tokens. For output tokens, DeepSeek V3.2 Reasoner 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 Reasoner vs GPT-5?
DeepSeek V3.2 Reasoner has a context window of 128K tokens, while GPT-5 has 400K tokens. GPT-5 supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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