AICostSave | AI Pricing, ChatGPT Cost, Copilot Price & Gemini Pricing | AI Cost SaveAICostSaveGuidesModel CostsCalculatorUse CasesEnglish日本語FrançaisDeutschItaliano中文English日本語FrançaisDeutschItaliano中文Stop wasting money on AI APIsMost teams overpay 20–60% on LLM usage without realizing it. Estimate your real cost, find hidden waste, and control your spend before it scales.See pricing by modelCalculate your AI costCost controls at a glanceEstimateFastBreakdownClearGuardrailsPracticalUse guides to set caps on retries and keep workflows from turning into billing spikes.Where your AI budget actually goesOver-sized prompts, repeated retries, multi-step agents, and missing output limits.Small issues, big billThese small issues can multiply your costs by 2–5x.Start with your AI cost calculatorEstimate monthly cost in seconds based on request volume, token usage, and model pricing.AI Cost CalculatorEstimate your monthly cost in seconds from request volume, token usage, and model pricing.Learn moreCompare model pricing instantlyUnderstand real cost differences between GPT, Claude, and Gemini models.Learn moreLearn how to reduce AI costsStep-by-step guides on reducing token usage, retry explosions, and model selection.Learn moreWhat is AI API Cost?When people talk about AI API cost, they are really talking about how much you pay every time a model processes your request. Most providers use token pricing, which means you are charged for tiny chunks of text instead of full messages. The total price depends on the model family, its capabilities, and the amount of traffic your product sends every day. Getting clear on your LLM pricing structure early makes it much easier to forecast budgets, compare vendors, and spot waste before it turns into an unexpected bill at the end of the month.How AI Pricing WorksMost AI APIs bill separately for input tokens and output tokens. Input tokens cover everything you send to the model—system prompts, user messages, and any tools or context you attach. Output tokens are what the model sends back, including intermediate reasoning and final answers. Providers usually publish pricing per 1K tokens for each direction, so your real cost is simply the number of tokens consumed multiplied by the relevant rate. Once you understand this structure, it becomes much easier to optimize prompts, cap maximum output length, and choose the right model tier for each workload.AI Model Pricing ComparisonDifferent vendors package performance and price in very different ways. AICostSave helps you compare them side by side instead of guessing from marketing pages.OpenAI pricingOpenAI offers a wide range of GPT models with separate input and output rates for each tier. You can explore effective cost per 1K tokens on our AI pricing comparison page.Claude pricingClaude models often emphasize larger context windows and competitive token pricing, especially for long documents and retrieval-heavy workloads. See our Claude pricing breakdown to compare against GPT and Gemini for your traffic levels.Gemini pricingGoogle’s Gemini family focuses on multimodal features and tight integration with Google Cloud. Visit our Gemini pricing view to compare token costs to OpenAI and Claude for the same scenario and find the best value.Popular AI Cost QuestionsWhat is the cost of GPT-4 per 1K tokens?GPT-4 pricing varies by variant, but it is always published as a rate per 1K input tokens and per 1K output tokens. Use our pricing tables to translate those rates into real dollars for your typical request pattern.How to reduce OpenAI API cost?Start by trimming prompts, limiting max output tokens, and routing low-risk calls to cheaper models. The biggest savings usually come from preventing “silent” retries and keeping outputs intentionally short when long answers do not add value.Why is Claude cheaper than GPT-4?In many workloads Claude can deliver a lower effective cost per 1K tokens, especially when a larger context window helps you avoid extra calls. The trade-off depends on the task, quality needs, and how often you generate long outputs.How to estimate AI cost per month?Work from real traffic: requests per day, average input tokens, and average output tokens. Multiply by pricing per 1K tokens, then stress test a few scenarios (peak days, longer outputs, retries) so your budget does not get surprised.How to Reduce AI CostsYou do not need a new architecture to cut your LLM bill. Most savings come from a few disciplined habits applied across prompts, tooling, and routing.Reduce prompt size. Remove unused instructions, collapse repeated context, and keep only the data that actually changes the answer.Limit output tokens. Set strict maximums for long-form answers, drafts, and tool calls so a single request cannot explode your spend.Avoid retries. Add simple validation, better system prompts, and clearer user flows instead of blindly retrying failed calls.Choose cheaper models. Reserve frontier models for the few tasks that truly need them, and route everything else to fast, inexpensive LLMs.Where teams usually overpayOver-sized promptsRepeated retriesMulti-step agentsNo limits on output tokensAI Cost CalculatorTurn rough traffic estimates into a clear budget. Enter expected input tokens and output tokens per feature, compare models like GPT-4, Claude, and Gemini, and see how those choices change your monthly AI API cost before you ship.Open AI Cost Calculator© 2026 AI Cost Save. Reduce AI API costs with clarity.GuidesModel CostsCalculatorsUse CasesDefault language
