DeepSeek V3.2 Reasoner vs Nova Pro: 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
Amazon
Nova Pro
Pricing (per 1M tokens)
Input$0.8000
Output$3.20
Context & Output
Context Window300K tokens
Max Output5.1K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V3.2 Reasoner
65.0% cheaper
Cheaper Output Price
DeepSeek V3.2 Reasoner
86.9% cheaper
Larger Context Window
Nova Pro
+172K 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
Nova Pro
$4.00
$0.8000/1M input + $3.20/1M output
DeepSeek V3.2 Reasoner is 82.5% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 Reasoner or Nova Pro?
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 Nova Pro?
DeepSeek V3.2 Reasoner has a context window of 128K tokens, while Nova Pro has 300K tokens. Nova Pro supports a larger context window of 300K tokens, which is beneficial for processing longer documents.
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