Prompt and response planning
Separate input tokens from generated output so each request has a clearer cost profile.
AI token planning
Estimate token usage before you ship AI features, then compare how the same prompt and response pattern changes cost across providers.
An AI token calculator helps translate prompts, generated responses, user volume, and model choice into a monthly API cost estimate. Use it when you know the shape of a request but need to understand what that request costs at scale.
Enter request volume, input tokens, output tokens, provider, and model to estimate monthly AI API cost.
Open the AI token calculatorSeparate input tokens from generated output so each request has a clearer cost profile.
Compare token costs across OpenAI, Claude, Gemini, DeepSeek, Mistral, xAI, Groq, and Cohere models.
Turn expected request volume into monthly cost before usage grows.
Keep the calculator close to the source material: compare provider pages, then use short guides to refine token and usage assumptions.
Browse tracked AI providers and open provider-specific calculators.
Review OpenAI models, source references, and calculator shortcuts.
Compare Claude model pricing for similar token assumptions.
Open Gemini model pages and estimate provider-specific workloads.
Understand how prompt and generated tokens affect API cost.
Use practical prompt, model, caching, and monitoring tactics.
Estimate the token cost of user messages, system prompts, history, and model replies.
Plan for longer input prompts when retrieved passages or document snippets are included.
Compare token-heavy workloads across providers before choosing a default model.
Token estimates are planning inputs. Check provider pricing pages for current official pricing before high-volume purchasing decisions.
Launch checklist
A few practical checks help developers and founders avoid surprises after real users arrive.
Forgetting retries, long context, power users, and generated output length.
Shorten prompts, cap output length, cache repeated answers, and route simple tasks to cheaper models.
Use stronger models when accuracy or reasoning changes the outcome; use cheaper models for routine work.
Ask who triggers requests, how often, how long responses are, and what happens during usage spikes.
Calculate how input tokens, cached input tokens, and output tokens contribute to the cost of each AI API request.
Estimate monthly AI API usage from traffic, request frequency, token volume, and model selection before growth makes costs harder to control.
Compare LLM cost scenarios across providers and model tiers before choosing the API behind your product workflow.
An AI token calculator estimates cost from the amount of text sent to and generated by an AI model, combined with request volume and model pricing.
Yes. Input tokens cover prompts, instructions, and context. Output tokens cover the model's generated response.
CostRivo uses provider pricing references in its local pricing data and links back to provider pages so teams can verify official prices.