API Pricing Calculator: Compare LLM Costs In-Browser
1. Calculator Configuration
2. Estimated Cost
* Prices are based on current market rates. Estimates only.
3. Market Comparison
| Model | Input (1M) | Output (1M) | Example Cost* |
|---|---|---|---|
| GPT-5 (o2) OpenAI | $15.00 | $60.00 | $0.0750 |
| o1 OpenAI | $15.00 | $60.00 | $0.0750 |
| o1-mini OpenAI | $3.00 | $12.00 | $0.0150 |
| GPT-4o OpenAI | $2.50 | $10.00 | $0.0125 |
| GPT-4o mini OpenAI | $0.15 | $0.60 | $0.0007 |
| o3 (Experimental) OpenAI | $30.00 | $120.00 | $0.1500 |
| Claude 4 Opus Anthropic | $15.00 | $75.00 | $0.0900 |
| Claude 3.5 Sonnet (New) Anthropic | $3.00 | $15.00 | $0.0180 |
| Claude 3.5 Haiku Anthropic | $0.25 | $1.25 | $0.0015 |
| Gemini 2.0 Pro | $1.25 | $5.00 | $0.0063 |
| Gemini 2.0 Flash | $0.10 | $0.40 | $0.0005 |
| Gemini 1.5 Flash (Legacy) | $0.07 | $0.30 | $0.0004 |
| DeepSeek-V3 DeepSeek | $0.14 | $0.28 | $0.0004 |
| Llama 3.3 (70B) Meta/Alternative | $0.60 | $1.80 | $0.0024 |
| Llama 3.3 (405B) Meta/Alternative | $2.00 | $6.00 | $0.0080 |
* Assumes 1K input + 1K output tokens per call.
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Why LLM Cost Calculator?
The LLM Cost Calculator eliminates the guesswork from AI project planning. Accurately estimate your API costs for major models like GPT-4, Claude 3.5, and Gemini, helping you choose the right model for your budget.
Key Features
- 💰 Multi-Model Support: Compare costs across OpenAI, Anthropic, Google, and more.
- 📊 Real-Time Estimates: See daily, monthly, and yearly cost projections instantly.
- 🎛️ Granular Control: Adjust input/output tokens and request volume to match your specific use case.
- 📉 Budget Planning: Identify the most cost-effective model for your specific workload.
- 🔒 Private: Your usage data and estimates remain in your browser.
How to Use
- 🤖 Select Models: Choose the AI models you are considering.
- 📝 Input Usage: Enter your estimated input and output token counts.
- 📈 Set Volume: Define your expected number of requests per day or month.
- 💡 Compare: Instantly see a side-by-side cost comparison to make an informed decision.
Frequently Asked Questions
Common questions about using API Pricing Calculator: Compare LLM Costs In-Browser.
How to reduce LLM costs?
You can significantly lower costs by optimizing prompts (reducing unnecessary tokens), using caching, switching to smaller models for simple tasks (like GPT-4o-mini or Gemini 1.5 Flash), and batching requests.
GPT-4o vs Gemini 1.5 Flash Price Comparison
Gemini 1.5 Flash is significantly cheaper per million tokens compared to GPT-4o, making it ideal for high-volume tasks. However, GPT-4o often excels in complex reasoning. Use our calculator to see the exact cost difference based on your token usage.
What is Client-side processing?
Client-side processing means all logic runs directly in your browser. No data, API keys, or images are uploaded to any server, guaranteeing 100% privacy and offline capability once the page loads.
Which is cheaper: OpenAI or Gemini?
It depends on the specific use case. Currently, Gemini 1.5 Flash is often extremely cost-effective for processing large volumes of data, while OpenAI's GPT-4o-mini also offers highly competitive pricing for small models. We recommend using this calculator for real-time comparisons based on your actual token usage.
Why does choosing different LLM models affect the budget?
Different models have different parameter scales and computational resource requirements, leading to vastly different pricing models. Large models are suitable for complex reasoning and are priced higher, while smaller models are inexpensive and suitable for simple text processing.
Who should use an API pricing calculator?
Developers, startup founders, and AI researchers use this tool to estimate monthly budgets and compare running costs before committing to a specific AI model like GPT-4o or Claude 3.5.
How can this tool help me choose an AI model?
By comparing the cost of input and output tokens across different providers, you can decide whether a cheaper, faster model or a more expensive, capable model fits your specific project's budget.