Text Davinci 002
r50k_base
Structural tokenization analysis engine. Optimized for Text Davinci 002 inputs. Calibrate context windows and compute precise API economics in real-time.
Context
4097
Type
LLM
Encoding
r 50k base
CH44
WORD9
ENCODINGr50k_base
// HAPPYTOKENIZER: WAITING FOR INPUT STREAM
Quick Answers
What is the Text Davinci 002 token limit?
Text Davinci 002 supports a 4,097 token context window. Paste your text above to see how much of that window your prompt fills.
What tokenizer does Text Davinci 002 use?
Text Davinci 002 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 Davinci 002 cost per million tokens?
Text Davinci 002 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-davinci-002
- TOKEN ENCODING
- r50k_base
- MAX CONTEXT
- 4,097TOKENS