Understanding token counting is essential for cost-effective AI development.
Learn how to count and optimize tokens to reduce your API costs.
What is a Token?
A token is roughly 4 characters or 0.75 words in English. GPT models use tokens to process text.
Token Counting Tools
1. OpenAI Tiktoken library
2. HuggingFace tokenizers
3. Online token calculators
Python Example
import tiktoken
enc = tiktoken.encoding_for_model(‘gpt-4’)
tokens = enc.encode(‘Hello, world!’)
print(len(tokens)) # Output: 4
Cost Optimization Tips
1. Use shorter prompts
2. Remove unnecessary context
3. Use streaming for long outputs
4. Choose the right model for the task
Token Limits by Model
GPT-3.5: 4,096 tokens
GPT-4: 8,192 tokens
GPT-4 Turbo: 128,000 tokens
DeepSeek: 64,000 tokens
Conclusion
Understanding tokens helps you build more cost-effective AI applications!