Text Embedding Ada 002
cl100k_base
Structural tokenization analysis engine. Optimized for Text Embedding Ada 002 inputs. Calibrate context windows and compute precise API economics in real-time.
Context
8192
Type
LLM
Encoding
cl 100k base
CH44
WORD9
ENCODINGcl100k_base
// HAPPYTOKENIZER: WAITING FOR INPUT STREAM
Quick Answers
What is the Text Embedding Ada 002 token limit?
Text Embedding Ada 002 supports a 8,192 token context window. Paste your text above to see how much of that window your prompt fills.
What tokenizer does Text Embedding Ada 002 use?
Text Embedding Ada 002 uses the cl100k_base encoding (GPT-4 / GPT-3.5). This page counts tokens with the vendor's real vocabulary, so the numbers match what the API sees.
How much does Text Embedding Ada 002 cost per million tokens?
Text Embedding Ada 002 costs $0.10 per million input tokens and $0.00 per million output tokens, with cached input at $0.05 per million.
Model Insights
Modalities
InText
OutText
Supported Features
StreamingFunction Calling
Supported Endpoints
Chat Completions
Cost Manifest
Input / 1M$0.10
Output / 1M$0.00
Cached Write$0.05
* Rates are estimated based on OpenAI standard tier. Actual billing may vary based on batch processing and enterprise agreements.
// Technical Specifications
- ARCHITECTURE ID
- text-embedding-ada-002
- TOKEN ENCODING
- cl100k_base
- MAX CONTEXT
- 8,192TOKENS