DeepSeek V3.2 vs Nova Pro: 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

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

65.0% cheaper

Cheaper Output Price

DeepSeek V3.2

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

$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 is 82.5% cheaper for this workload.

Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 or Nova Pro?
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 Nova Pro?
DeepSeek V3.2 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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