HappyTokenizer
Happytoolin/Happyformatter/GitHub

Text Search Davinci Query 001

r50k_base

Structural tokenization analysis engine. Optimized for Text Search Davinci Query 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 Davinci Query 001 token limit?

Text Search Davinci Query 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 Davinci Query 001 use?

Text Search Davinci Query 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 Davinci Query 001 cost per million tokens?

Text Search Davinci Query 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-davinci-query-001
TOKEN ENCODING
r50k_base
MAX CONTEXT
2,049TOKENS