Plan AI Costs Before Usage Grows
Test token volume, request count, model choice, and other billing units before a small AI feature becomes a large monthly cost.
Estimate the cost of AI models, token use, API requests, embeddings, image generation, speech, and other AI services before you build or scale a product.
Test token volume, request count, model choice, and other billing units before a small AI feature becomes a large monthly cost.
Plan costs for chatbots, assistants, search tools, support tools, image features, voice tools, and other AI-based products.
Use the same workload to compare model prices, provider rates, and possible monthly costs without reading long pricing tables.
Start with tools for token cost, AI APIs, model use, inference, embeddings, images, audio, and monthly workload planning.
Estimate OpenAI API costs using requests, input tokens, cached input tokens, output tokens, and model pricing.
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Estimate Anthropic Claude API costs using input tokens, prompt caching, output tokens, Batch API, and monthly usage.
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Estimate Google Gemini API costs using input tokens, cached input, output tokens, Batch API, prompt size, and monthly usage.
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Estimate DeepSeek V4 Flash and V4 Pro API costs using cache-hit input, cache-miss input, output tokens, requests, and monthly usage.
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Estimate xAI Grok API costs using requests, input tokens, cached input tokens, output tokens, and monthly usage.
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Estimate Mistral API costs using input tokens, output tokens, Batch API, requests, and monthly usage.
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Browse every AI cost tool for tokens, models, requests, inference, embeddings, images, audio, and other running costs.
Estimate OpenAI API costs using requests, input tokens, cached input tokens, output tokens, and model pricing.
Estimate Anthropic Claude API costs using input tokens, prompt caching, output tokens, Batch API, and monthly usage.
Estimate Google Gemini API costs using input tokens, cached input, output tokens, Batch API, prompt size, and monthly usage.
Estimate DeepSeek V4 Flash and V4 Pro API costs using cache-hit input, cache-miss input, output tokens, requests, and monthly usage.
Estimate xAI Grok API costs using requests, input tokens, cached input tokens, output tokens, and monthly usage.
Estimate Mistral API costs using input tokens, output tokens, Batch API, requests, and monthly usage.
Estimate Perplexity Sonar API costs using tokens, search context fees, Deep Research usage, requests, and monthly volume.
Estimate Cohere Command API costs using input tokens, output tokens, requests, and monthly usage.
Estimate AI API costs using input tokens, cached input tokens, output tokens, requests, and your own pricing.
Estimate AI image generation costs using price per image, monthly requests, retries, and other fixed costs.
Estimate the full cost of an AI voice agent using current rates you enter for speech-to-text, LLM, text-to-speech, telephony, platform, recording, setup, and fixed costs.
Compare OpenAI, Deepgram, AssemblyAI, Google Cloud, and custom speech-to-text costs using monthly audio hours and processing mode.
Compare current Google Veo 3.1 and Runway API video generation costs using clip duration, usable output, repeated attempts, budget, and custom pricing.
Estimate retrieval-augmented generation costs across chunking, embeddings, vector storage, reads, writes, reranking, LLM usage, refreshes, and setup.
Compare current OpenAI, Google Gemini, Mistral, Voyage AI, and custom embedding costs across indexing, refreshes, queries, and first-year usage.
Compare Voyage AI and Pinecone reranking costs, estimate downstream LLM token savings, and calculate the net monthly impact.
Estimate prompt caching savings across OpenAI, Claude, Google Gemini, and custom pricing using reusable tokens, cache hit rate, writes, storage, and monthly requests.
Estimate standard versus batch AI processing costs across OpenAI, Claude, Gemini, Mistral, and custom pricing, including repeat processing, setup, and break-even savings.
Estimate multi-step AI agent costs across planner and worker models, context growth, retries, paid tools, memory, human review, infrastructure, and product margin.
Estimate dataset, training, evaluation, retraining, tuned-model inference, hosting, payback, break-even usage, and first-year fine-tuning costs.
Compare an all-premium AI workflow with a low-cost and premium model routing strategy, including pass rate, fallback, retries, gateway fees, setup, and break-even savings.
Estimate candidate-model inference, model-grader calls, repeated evaluation runs, selective human review, platform costs, setup, and first-year evaluation spend.
Estimate input and output safety checks, policy-model grading, regeneration, human review, platform fees, setup, break-even blocking, and total guarded AI cost.
Compare current OpenAI, Claude, Google Gemini, and custom web search grounding costs across search calls, model tokens, retrieved context, retries, and free allowances.
Estimate OCR, extraction, vision, LLM validation, retries, human review, setup, break-even volume, and first-year document automation costs.
Estimate planning, coding, repair, review, CI, human approval, setup, cost per successful task, manual savings, payback, and break-even volume.
Estimate AI-handled support conversations, ticket deflection, model and retrieval spend, escalations, QA review, setup, savings, payback, and break-even automation share.
Estimate translation-model tokens, terminology lookup, QA, retries, human post-editing, setup, savings, payback, and break-even multilingual content volume.
Estimate generation, validation, deduplication, human review, rejected candidates, setup, accepted-record cost, savings, payback, and break-even dataset volume.
Compare full conversation history with summarized context using token growth, cached prefixes, summary overhead, context limits, overflow turns, monthly cost, and savings.
Estimate transcription, diarization, summaries, action items, storage, integrations, human review, setup, savings, payback, and break-even meeting volume.
Estimate GPUs per replica, throughput-based GPU hours, batching, utilization, idle capacity, self-hosted cost, managed API comparison, payback, and break-even volume.
AI pricing can change with token length, model choice, request volume, images, audio, embeddings, and other billing units. These tools help you test those numbers before you spend money.
Estimate input and output token costs before launching an AI feature.
Compare the same workload across different AI models.
Estimate monthly AI API spending from users and requests.
Calculate embedding costs for search and RAG systems.
Estimate image generation costs for content and design work.
Estimate speech-to-text and text-to-speech API costs.
See how longer answers may increase model costs.
Test future AI spending at higher usage levels.
AI pricing may look simple at first, but the final cost can depend on input tokens, output tokens, request count, model choice, images, audio, embeddings, and other billing units.
A useful estimate starts with a real workload. You may need to know how many users will use the feature, how many requests each user may send, how long the prompts may be, and how much output the model may return.
Small changes in answer length, request count, or user growth can change the monthly bill. Beeija calculators help you test a small launch, a normal month, and a busy month before choosing a model or provider.
Cost is only one part of the decision. Quality, speed, context size, reliability, privacy, and provider limits may also matter. Always check the latest official provider pricing before making a final budget or purchase decision.
An AI cost calculator estimates spending for tokens, models, API requests, images, audio, embeddings, and other paid AI services.
Start with the model price, number of requests, and average input and output tokens. A calculator can then show the cost per request, day, month, or user.
Yes. Use the same request and token numbers across different models to compare possible costs for one workload.
Yes. Embeddings may be priced by text volume. Images may be priced by size, quality, or model. Audio may be priced by minutes, characters, tokens, or requests.
No. They are planning estimates. The final bill may change because of updated prices, discounts, taxes, retries, extra services, or actual usage.
Most Beeija tools run in your browser. Your inputs are not uploaded unless a tool clearly says that it needs an external price or URL check.