GPT-5.6 Luna vs DeepSeek Flash (V4.1): Pricing Comparison
Compare pricing, capabilities, and costs for your LLM workloads.
OpenAI
GPT-5.6 Luna
Pricing (per 1M tokens)
Input$0.2000
Output$1.20
Cached Input$0.0200
Batch Input$0.1000
Batch Output$0.6000
Context & Output
Context Window1M tokens
Max Output128K tokens
Capabilities
Categorybudget
Multimodaltext + image
Fine-tuningNo
StreamingYes
DeepSeek
DeepSeek Flash (V4.1)
Pricing (per 1M tokens)
Input$0.3000
Output$1.20
Cached Input$0.006000
Context & Output
Context Window1M tokens
Max Output384K tokens
Capabilities
Categorybudget
Multimodaltext
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Luna
33.3% cheaper
Cheaper Output Price
DeepSeek Flash (V4.1)
0.0% cheaper
Larger Context Window
DeepSeek Flash (V4.1)
+0 tokens
Cost Comparison
Sample workload: 1,000,000 input tokens + 1,000,000 output tokens
GPT-5.6 Luna
$1.40
$0.2000/1M input + $1.20/1M output
DeepSeek Flash (V4.1)
$1.50
$0.3000/1M input + $1.20/1M output
GPT-5.6 Luna is 6.7% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or DeepSeek Flash (V4.1)?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, DeepSeek Flash (V4.1) is cheaper at $1.20 per 1M tokens. The overall cost depends on your workload's input/output ratio.
What is the context window size of GPT-5.6 Luna vs DeepSeek Flash (V4.1)?
GPT-5.6 Luna has a context window of 1M tokens, while DeepSeek Flash (V4.1) has 1M tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
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