LLM Token Cost Estimator
Compare input/output token API costs across OpenAI GPT-4o, Anthropic Claude 3.5, and Google Gemini models.
Hauptmerkmale & Datenschutzgarantie
- ✓ 100% Ausführung im Browser: Ihre Daten verlassen Ihr Gerät nicht und erreichen keine Server.
- ✓ Sofortige Echtzeit-Ausgabe: Keine Netzwerklatenz, sofortige Auswertung beim Tippen und schnelles Kopieren.
- ✓ Dauerhaft kostenlos & unbegrenzt: Keine Anmeldung, keine Bezahlschranken und keine täglichen Limits.
- ✓ Standardkonform: Streng nach RFC-, ISO- und W3C-Webstandards entwickelt.
Compare AI model API costs per request and per month
Calculate exact API costs for GPT-4o, GPT-4o-mini, Claude 3.5 Sonnet, Haiku, Gemini 1.5 Pro, and DeepSeek models based on your token usage.
Technische Spezifikationen & Architektur
- Execution Environment:
- 100% Client-Side Browser Sandbox
- Data Privacy:
- Zero Server Storage / No Tracking
- Processing Speed:
- Real-time local CPU execution
- Cross-Platform:
- Works on Windows, macOS, Linux, iOS & Android
Prompt Engineering & Token Estimation Engine
LLM utilities evaluate prompt lengths, structure system instructions, and calculate approximate token counts based on byte-pair encoding (BPE) algorithms used by OpenAI, Anthropic, and Google models. This helps prevent token budget overflows and optimizes monthly API expenditure.
Provide Input
Enter, paste, or upload your data into the input field above.
Configure & Process
The tool immediately processes your input in real time according to your chosen settings.
Copy or Save
Use the Copy button to copy the output to your clipboard, or download the result to your device.
Häufige Anwendungsfälle
- Budget monthly API costs for AI startups and LLM wrapper products
- Compare token pricing between GPT-4o, Claude 3.5 Sonnet, and Gemini 1.5 Pro
- Optimize prompt lengths to reduce OpenAI API bills
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Verknüpfte Tools & Nächste Schritte
Empfohlene Entwicklerwerkzeuge vor oder nach der Nutzung von LLM Token Cost Estimator & Model Pricing Comparison
Prompt Token Counter
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Andere KI- & LLM-Tools
Prompt Token Counter
Count characters, words, and estimate tokens for LLM prompts. Useful for OpenAI, Claude, and other AI APIs.
LLM JSON Extractor
Extract JSON from LLM responses. Parse code blocks and clean malformed JSON from AI output.
MCP Tool Schema Generator
Generate Model Context Protocol (MCP) tool definitions. Create name, description, and inputSchema JSON for MCP servers.
MCP Config Formatter
Format and validate MCP server configuration (mcp.json). Pretty-print and check structure for Cursor, Claude, and other MCP clients.
llms.txt Generator
Generate llms.txt for your website. Creates AI-readable discovery file with name, summary, contact, and services. Spec 1.1.1 compatible.
Prompt Template Builder
Build prompts with {{variable}} placeholders. Fill in values and preview. For reusable AI prompts.
System Prompt Generator
Generate system prompts for LLMs. Role, task, constraints, output format. For ChatGPT, Claude, etc.
Few-Shot Prompt Builder
Build few-shot prompts with input-output examples. Structure examples for in-context learning.
Häufig gestellte Fragen
- How is LLM API pricing calculated?
- LLM providers charge per 1 Million (1M) input tokens and output tokens. Output tokens are typically 3x to 4x more expensive than input tokens.
- How many words are in 1,000 tokens?
- In English, 1,000 tokens equal approximately 750 words (or ~4,000 characters).
- Which AI model is most cost-effective for high volume?
- GPT-4o-mini, Gemini 1.5 Flash, and DeepSeek-V3 offer the lowest cost per 1M tokens for lightweight tasks.