DeepSeek V3.2 Reasoner vs GPT-4.1 mini: 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-4.1 mini
Pricing (per 1M tokens)
Input$0.4000
Output$1.60
Cached Input$0.1000
Batch Input$0.2000
Batch Output$0.8000
Context & Output
Context Window1.0M tokens
Max Output32.8K tokens
Capabilities
Categorymid
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
DeepSeek V3.2 Reasoner
30.0% cheaper
Cheaper Output Price
DeepSeek V3.2 Reasoner
73.8% cheaper
Larger Context Window
GPT-4.1 mini
+919.6K 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-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
DeepSeek V3.2 Reasoner is 65.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, DeepSeek V3.2 Reasoner or GPT-4.1 mini?
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-4.1 mini?
DeepSeek V3.2 Reasoner has a context window of 128K tokens, while GPT-4.1 mini has 1.0M tokens. GPT-4.1 mini supports a larger context window of 1.0M tokens, which is beneficial for processing longer documents.
Need more tools?
Explore our complete suite of LLM calculators and comparison tools.