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Advanced AI Cost & Prompt Toolkit

Estimate request, embedding & fine-tuning costs, compare models and see how prompt design impacts your bill.

Select a provider to see available models.
Paste your real prompt if possible.

Detected: 0 words ≈ 0 tokens (approx.)

If unsure, 100–200 is typical for a chat reply.
For monthly cost projection.

We estimate tokens as 1 word ≈ 0.75 tokens. Actual usage depends on tokenizer and language.

Model cost comparison

Pick two models, paste a sample prompt and estimate which one gives you better price–performance.

Cost & usage summary

Fill the form and click “Run comparison” to see detailed costs.

AI tools recommender & directory

Describe what you want to build and we’ll suggest AI tools. Then browse a directory of popular models and platforms.

We’ll suggest tools that fit this goal.
Rough budget level.
How comfortable are you with AI/dev tools?

This is a high-level assistant – always double-check each tool’s official docs and pricing.

Recommended tools
Top picks for your goal & budget

Choose a goal and click “Find tools” to see recommendations here.

AI tools directory

Browse popular AI platforms across chat, image, video, audio and writing – with rough pricing and best use cases.

Tool Type Best for Pricing (approx.) Notes
Price per 1K tokens.
We estimate tokens from this example.

Detected: 0 words ≈ 0 tokens (approx. per document)

How many documents will you embed?
For ongoing monthly cost.
Training & inference prices per 1K tokens (approx.).
Total words across all examples.
How many passes over the data.
For inference with the fine-tuned model.
Typical completion length.
For ongoing inference cost.

Upload a plain text file (.txt, .md, .json, .csv) to estimate tokens and potential chat + embedding cost.

For approximate monthly cost.

Prompt optimizer

Paste your prompt, pick a model and see how much you could save by tightening the wording.

Optimization result

We’ll estimate tokens, monthly cost and potential savings here.

Supported models & prices

Prices are approximate per 1K tokens and based on public provider documentation. Always double-check before going to production.

Provider Model Type Input / 1K Output / 1K Context Notes
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