Text Search Curie Doc 001
r50k_base
Structural tokenization analysis engine. Optimized for Text Search Curie Doc 001 inputs. Calibrate context windows and compute precise API economics in real-time.
Context
2049
Type
LLM
Encoding
r 50k base
CH44
WORD9
ENCODINGr50k_base
// HAPPYTOKENIZER: WAITING FOR INPUT STREAM
Quick Answers
What is the Text Search Curie Doc 001 token limit?
Text Search Curie Doc 001 supports a 2,049 token context window. Paste your text above to see how much of that window your prompt fills.
What tokenizer does Text Search Curie Doc 001 use?
Text Search Curie Doc 001 uses the r50k_base encoding (legacy GPT-3). This page counts tokens with the vendor's real vocabulary, so the numbers match what the API sees.
How much does Text Search Curie Doc 001 cost per million tokens?
Text Search Curie Doc 001 costs $2.00 per million input tokens and $2.00 per million output tokens, with cached input at $1.00 per million.
Model Insights
Modalities
InText
OutText
Supported Features
Streaming
Supported Endpoints
Completions
Cost Manifest
Input / 1M$2.00
Output / 1M$2.00
Cached Write$1.00
* Rates are estimated based on OpenAI standard tier. Actual billing may vary based on batch processing and enterprise agreements.
// Technical Specifications
- ARCHITECTURE ID
- text-search-curie-doc-001
- TOKEN ENCODING
- r50k_base
- MAX CONTEXT
- 2,049TOKENS