GPT-5 mini vs DeepSeek V3.2 Reasoner: Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5 mini
Pricing (per 1M tokens)
Input$0.2500
Output$2.00
Cached Input$0.0250
Batch Input$0.1250
Batch Output$1.00
Context & Output
Context Window400K tokens
Max Output128K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
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
Quick Verdict
Cheaper Input Price
GPT-5 mini
10.7% cheaper
Cheaper Output Price
DeepSeek V3.2 Reasoner
79.0% cheaper
Larger Context Window
GPT-5 mini
+272K tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5 mini
$2.25
$0.2500/1M input + $2.00/1M output
DeepSeek V3.2 Reasoner
$0.7000
$0.2800/1M input + $0.4200/1M output
DeepSeek V3.2 Reasoner is 68.9% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5 mini or DeepSeek V3.2 Reasoner?
For input tokens, GPT-5 mini is cheaper at $0.2500 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 GPT-5 mini vs DeepSeek V3.2 Reasoner?
GPT-5 mini has a context window of 400K tokens, while DeepSeek V3.2 Reasoner has 128K tokens. GPT-5 mini supports a larger context window of 400K tokens, which is beneficial for processing longer documents.
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