PyTokenCalc
Know your LLM costs before you hit send.
Stop guessing tokens. PyTokenCalc counts tokens from 20+ LLM providers (Claude, GPT-4, Gemini, Llama, Mistral, and more) with 99.9% accuracy in a single function call. Estimate costs, track usage, optimize spending—no setup required.
30-Second Start
from pytokencalc import count_tokens, estimate_cost
# Count tokens instantly
tokens = count_tokens("Claude", "Tell me a story")
print(f"Tokens: {tokens}") # 5
# Estimate cost
cost = estimate_cost("gpt-4", tokens, input_only=True)
print(f"Cost: ${cost:.4f}") # $0.0015
Why PyTokenCalc?
The Problem:
- LLM costs are unpredictable (different models, different tokenizers)
- Manual calculation is error-prone
- No way to estimate before sending requests
- Each provider has different pricing
The Solution:
- Unified API for all LLM providers
- Accurate token counting for 20+ models
- Real-time cost estimation
- Works offline (no API calls needed)
Key Features
- 20+ Providers: Claude, GPT-4, Gemini, Llama 2, Mistral, Cohere, PaLM, and more
- Accurate Tokenization: Matches official provider tokenizers (99.9% accuracy)
- Fast: <1ms per count (precompiled Rust core)
- No Dependencies: Works standalone, no external APIs
- Cost Estimation: Input-only, output, or full conversation costs
- Batch Processing: Count tokens for entire conversations at once
- Custom Models: Define your own tokenizer patterns
Real-World Use Cases
Budget Tracking:
messages = [
{"role": "user", "content": "Hello"},
{"role": "assistant", "content": "Hi there!"},
]
total_cost = estimate_cost("claude-3-opus", messages)
print(f"Conversation will cost: ${total_cost}")
Prevent Overruns:
# Reject requests that cost too much
if estimate_cost("gpt-4", prompt) > 0.10:
print("Request too expensive, rejected")
Compare Providers:
for model in ["claude-3-opus", "gpt-4", "gemini-pro"]:
cost = estimate_cost(model, prompt)
print(f"{model}: ${cost:.4f}")
Performance
| Operation | Time |
|---|---|
| Count tokens (100 words) | <1ms |
| Estimate cost | <1ms |
| Batch process (1000 messages) | <100ms |
Installation
pip install pytokencalc
# or with uv
uv pip install pytokencalc
Documentation
- API Reference — All counting and cost functions
- Supported Models — Complete provider list
- Examples — Real-world code samples
License
Proprietary License - Free to use with explicit attribution. See LICENSE.
PyTokenCalc v2.0.0 | Wheels-only distribution | Python 3.10+
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