GPT-5.6 Luna
o200k_base
Structural tokenization analysis engine. Optimized for GPT-5.6 Luna inputs. Calibrate context windows and compute precise API economics in real-time.
Context
1050k
Type
LLM
Encoding
o 200k base
CH44
WORD9
ENCODINGo200k_base
// HAPPYTOKENIZER: WAITING FOR INPUT STREAM
Quick Answers
What is the GPT-5.6 Luna token limit?
GPT-5.6 Luna supports a 1,050,000 token context window. Paste your text above to see how much of that window your prompt fills.
What tokenizer does GPT-5.6 Luna use?
GPT-5.6 Luna uses OpenAI's o200k_base encoding. This page counts tokens with the vendor's real vocabulary, so the numbers match what the API sees.
How much does GPT-5.6 Luna cost per million tokens?
GPT-5.6 Luna costs $0.10 per million input tokens and $0.60 per million output tokens, with cached input at $0.01 per million.
Model Insights
Modalities
InTextImage
OutText
Supported Features
StreamingStructured OutputsFunction CallingWeb SearchPrompt CachingReasoning Tokens
Supported Endpoints
ResponsesBatch
Cost Manifest
Input / 1M$0.10
Output / 1M$0.60
Cached Write$0.01
* Rates are estimated based on OpenAI standard tier. Actual billing may vary based on batch processing and enterprise agreements.
// Technical Specifications
- ARCHITECTURE ID
- gpt-5.6-luna
- TOKEN ENCODING
- o200k_base
- MAX CONTEXT
- 1,050,000TOKENS