Context Window Calculator
Enter your model and token usage to see how much context you have left. Prevents token overflow errors.
Context Window
128,000
Tokens Used
1,000
Reserved for Output
500
Remaining Available
126,500
Context Usage:
Safety Check:
✓ Safe to proceed
How This Works
Context Window: Total tokens the model can handle in one request.
Tokens Used: Your input prompt size + previous response tokens.
Reserved for Output: Tokens you want to save for the model's response.
Remaining Available: Context - Tokens Used - Reserved = available for new content.
Safety Margin: We recommend keeping 10-15% of context as buffer for safety.
How to Use
- Select your model – Choose from GPT-4, Claude, Llama, Gemini, and more
- Enter tokens used – How many tokens your prompt will consume
- Set output tokens – Expected tokens for the model response
- Check results – See percentage used and remaining tokens
Why Check Context Windows?
- Prevent requests that exceed model context limits
- Plan for long-form content analysis and generation
- Compare context sizes between different LLM models
- Optimize prompt structure to fit within limits
- Avoid token overflow errors in production
Related Tools
- Token Counter – Count tokens in your text
- Prompt Cost Calculator – Estimate API costs
- Temperature & Top-K Explainer – Understand sampling
- Prompt Template Generator – Create structured prompts