About AI Prompt Token Counter & LLM Cost Studio
In-browser AI token counter and comparative cost matrix for developers and prompt engineers. Features live token estimation, context window utilization gauges, and pricing calculations for Claude 3.5 Sonnet, GPT-4o, Gemini 1.5, DeepSeek V3/R1, and Llama 3.1 with prompt caching discounts.
Key Capabilities & Features
- Real-time token estimation with character, word, and line frequency analytics
- Comparative pricing across Claude 3.5, GPT-4o, Gemini 1.5, and DeepSeek V3/R1
- Context window utilization gauges for 64k, 128k, 200k, and 2M token context limits
- Batch execution cost projections (1 to 50,000 calls) and prompt caching discount simulations
How to Use AI Prompt Token Counter & LLM Cost Studio
Paste Prompt
Paste your raw prompt, system instructions, or code context into the text area.
Configure Parameters
Adjust expected completion tokens, request volume, and prompt caching toggles.
Compare Pricing
Inspect cost per single call and total batch cost across leading LLM providers.
Privacy & In-Browser Execution Guarantee
100% in-browser processing. Proprietary prompts, system instructions, and code context are never sent to external servers.
Frequently Asked Questions
How accurate is the in-browser token estimation?
The studio uses a calibrated byte-pair heuristic accounting for words, whitespace, and special code punctuation density, matching OpenAI Tiktoken and Anthropic tokenizers within a ~3-5% margin.
What is the benefit of LLM prompt caching?
Prompt caching offers up to an 80-90% discount on input tokens for repeated prefix contexts (such as extensive system instructions, large documentation, or codebases) across Anthropic, OpenAI, and DeepSeek.