Code Cushman 002
p50k_base
Structural tokenization analysis engine. Optimized for Code Cushman 002 inputs. Calibrate context windows and compute precise API economics in real-time.
Context
2048
Type
LLM
Encoding
p 50k base
CH44
WORD9
ENCODINGp50k_base
// HAPPYTOKENIZER: WAITING FOR INPUT STREAM
Quick Answers
What is the Code Cushman 002 token limit?
Code Cushman 002 supports a 2,048 token context window. Paste your text above to see how much of that window your prompt fills.
What tokenizer does Code Cushman 002 use?
Code Cushman 002 uses the p50k_base encoding (GPT-3.5 completion models). This page counts tokens with the vendor's real vocabulary, so the numbers match what the API sees.
How much does Code Cushman 002 cost per million tokens?
Code Cushman 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
- code-cushman-002
- TOKEN ENCODING
- p50k_base
- MAX CONTEXT
- 2,048TOKENS