GPT-5.6 Luna vs Claude Opus 4.6: 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
Anthropic
Claude Opus 4.6
Pricing (per 1M tokens)
Input$5.00
Output$25.00
Cached Input$0.5000
Batch Input$2.50
Batch Output$12.50
Context & Output
Context Window200K tokens
Max Output128K tokens
Capabilities
Categoryflagship
Multimodaltext + image
Fine-tuningNo
StreamingYes
Quick Verdict
Cheaper Input Price
GPT-5.6 Luna
96.0% cheaper
Cheaper Output Price
GPT-5.6 Luna
95.2% cheaper
Larger Context Window
GPT-5.6 Luna
+800K 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
Claude Opus 4.6
$30.00
$5.00/1M input + $25.00/1M output
GPT-5.6 Luna is 95.3% cheaper for this workload.
Frequently Asked Questions
Which is cheaper, GPT-5.6 Luna or Claude Opus 4.6?
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 Claude Opus 4.6?
GPT-5.6 Luna has a context window of 1M tokens, while Claude Opus 4.6 has 200K tokens. GPT-5.6 Luna supports a larger context window of 1M tokens, which is beneficial for processing longer documents.
How do GPT-5.6 Luna and Claude Opus 4.6 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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