Context Length Checker

Check if your prompt fits within the context limits of various AI models. Avoid truncation issues.

0 characters~0 tokens

Estimated Tokens

0

Compatible Models18
Too Large For0

Model Compatibility

ProviderModelContext LimitUsageStatus
OpenAIGPT-4o128K tokens
0%128,000 left
Fits
OpenAIGPT-4o Mini128K tokens
0%128,000 left
Fits
OpenAIGPT-4 Turbo128K tokens
0%128,000 left
Fits
OpenAIGPT-3.5 Turbo16K tokens
0%16,385 left
Fits
OpenAIo1 Preview128K tokens
0%128,000 left
Fits
OpenAIo1 Mini128K tokens
0%128,000 left
Fits
AnthropicClaude 3.5 Sonnet200K tokens
0%200,000 left
Fits
AnthropicClaude 3 Opus200K tokens
0%200,000 left
Fits
AnthropicClaude 3 Sonnet200K tokens
0%200,000 left
Fits
AnthropicClaude 3 Haiku200K tokens
0%200,000 left
Fits
GoogleGemini 1.5 Pro2.0M tokens
0%2,000,000 left
Fits
GoogleGemini 1.5 Flash1.0M tokens
0%1,000,000 left
Fits
GoogleGemini 1.0 Pro32K tokens
0%32,000 left
Fits
MistralMistral Large128K tokens
0%128,000 left
Fits
MistralMistral Medium32K tokens
0%32,000 left
Fits
MistralMistral Small32K tokens
0%32,000 left
Fits
CohereCommand R+128K tokens
0%128,000 left
Fits
CohereCommand R128K tokens
0%128,000 left
Fits

What is Context Length?

Context length (also called context window) is the maximum number of tokens a language model can process in a single request. This includes both your input (prompt) and the model's output. If your content exceeds the context limit, the model may truncate your input or refuse to process it entirely.

Tips to Reduce Context

  • Remove unnecessary whitespace and formatting
  • Summarize long documents before including them
  • Split large tasks into smaller chunks
  • Use models with larger context windows

Frequently Asked Questions

What happens if my prompt is too long?

If your prompt exceeds a model's context limit, different providers handle it differently. Some will truncate your input from the beginning or end, some will return an error, and others may refuse to process the request. It's always best to check your prompt length before sending it to ensure you get the expected results.

Does context length include the AI's response?

Yes, the context limit applies to the total of your input plus the AI's output. If you're near the limit with your input, there may not be room for a complete response. It's good practice to leave at least 10-20% of the context window available for the AI's response.

Which model has the largest context window?

Currently, Google's Gemini 1.5 Pro leads with a 2 million token context window, followed by Gemini 1.5 Flash with 1 million tokens. Anthropic's Claude 3 models offer 200K tokens, and most OpenAI models provide 128K tokens. Always check the latest documentation as these numbers change frequently.

How accurate is the token estimation?

Our token calculator provides estimates based on standard tokenization patterns. While generally accurate within 10-15%, actual token counts may vary depending on the specific model and tokenizer used. For critical applications, we recommend leaving a safety margin of at least 5-10% below the context limit.