GPT-5.6 Luna vs GPT-4.1 mini: 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
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
GPT-5.6 Luna
50.0% cheaper
Cheaper Output Price
GPT-5.6 Luna
25.0% cheaper
Larger Context Window
GPT-4.1 mini
+47.6K 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
GPT-4.1 mini
$2.00
$0.4000/1M input + $1.60/1M output
GPT-5.6 Luna is 30.0% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or GPT-4.1 mini?
For input tokens, GPT-5.6 Luna is cheaper at $0.2000 per 1M tokens. For output tokens, GPT-5.6 Luna 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 GPT-4.1 mini?
GPT-5.6 Luna has a context window of 1M 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.
How do GPT-5.6 Luna and GPT-4.1 mini compare for batch processing?
Both models support batch processing with discounted rates. GPT-5.6 Luna offers a better batch rate at $0.1000 per 1M input tokens. Batch processing is ideal for non-time-sensitive workloads where you can wait for processing.
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