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GPT-4.5 Pricing Calculator

⚠️ Deprecation notice (effective April 14 → July 14 2025)

Try our GPT-4.5 Pricing Calculator now and see clearly, instantly, and easily what your GPT-4.5 usage costs will be.
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GPT‑4.5 Pricing Calculator & Guide

⚠️ Deprecation notice (effective April 14 → July 14 2025) 

OpenAI has announced that GPT‑4.5‑preview will be removed from the API on July 14, 2025 and replaced by GPT‑4.1. 

The 4.5 series will remain live until then, but no further updates are planned; new features and security improvements are only being pushed to 4.1 and newer.

Today, I’ll show you how the calculator works, explain token-based costs like those for GPT‑4.5, walk through real-life use cases, and share simple ways to keep your budget under control and more.

How the GPT‑4.5 Pricing Calculator Works

Like most language models, GPT-4.5 costs are measured by tokens—basically small word pieces or punctuation marks that add up to your final bill.

1. Pick your measurement: tokens (most precise), words, or characters.

GPT-4.5 Pricing Calculator interface showing token, word, and character input options for cost estimation.

2. Enter three numbers:

User input fields for entering input tokens, output tokens, and API calls on the GPT-4.5 Pricing Calculator
  • Input size (your prompt)
  • Expected output size (the model’s reply)
  • Number of API calls (how many times you’ll hit the endpoint)

3. Instant breakdown: The widget multiplies your inputs by the official rates above, then shows:

  • Cost of input vs. output
  • Total per call and total project cost
  • Side‑by‑side price comparison with GPT‑4o, o1, Claude 3, Gemini 2.5 Pro, and more.

Example:

Let’s say you’re building an AI chatbot for a customer support team, and you want to estimate usage costs during the first week of deployment.

Scenario: Your chatbot handles 500 conversations in a week. On average:

Measurement: Words

  • Total Input: 100 words × 500 chats = 50,000 words
  • Total Output: 300 words × 500 chats = 150,000 words
  • API Calls: 500 (one per conversation)

Just enter these numbers into the GPT‑4.5 Pricing Calculator. You’ll instantly see a clear breakdown of your input and output token costs—so you can budget accurately and avoid any surprises as your user base grows.

☀️Recommended: Chatbot Pricing: How Much Does a Chatbot Cost? (2025)

What is GPT-4.5, and Why Should I Use It?

GPT‑4.5 is OpenAI’s latest “unsupervised‑learning” giant—built for breadth of knowledge, creative fluency, and a noticeably warmer chat style (“EQ,” as the researchers like to say). It does not run a private chain‑of‑thought the way the reasoning‑first o1 model does, but it does pack:

  • 128 k context window (about the length of two medium‑sized novels).
  • 16 384 max output tokens (roughly 12 k words) in a single shot.
  • Better factual accuracy than GPT‑4o and a lower hallucination rate in OpenAI’s SimpleQA tests.
  • Image‑in / text‑out capability (vision input only—no audio or video yet).

GPT-4.5 is great for long-form writing, brainstorming, design feedback, tutoring, or any situation where you want a model that “gets” nuance and tone, but doesn't need the step-by-step logic that o1 offers.

Official Token Pricing of GPT-4.5

Token type Price per 1 M tokens
Fresh input $75.00
Cached input
(identical prompt, unchanged)
$37.50
Output $150.00

A few quick notes:

  • Billing unit is tokens. If you’re used to thinking in words, assume 1 word ≈ 1.33 tokens. Four characters (including spaces) ≈ 1 token.
  • No free tier. GPT‑4.5 is only in paid usage tiers of the OpenAI API and in ChatGPT Pro/Plus/Team (with weekly message caps).
  • Rate limits scale with spend. Tier 1 starts at 1 000 requests per minute (RPM) and 125 000 tokens per minute (TPM); higher tiers unlock more.

Six Smart Ways to Keep Your GPT‑4.5 Bill Reasonable

  • Trim the prompt. Extra background paragraphs add up fast at $75 per million. Keep only what the model truly needs.
  • Reuse prompts when you can. Identical system or instruction prompts qualify for the 50 % cached‑input discount.
  • Cap max_tokens. If 400 words is enough, don’t allow 2 000.
  • Batch related tasks. One 3 000‑token request is cheaper (and usually faster) than three 1 000‑token calls.
  • Pre‑filter with a cheaper model. Let GPT‑4o or o3‑mini do basic cleaning or classification, then send only the high‑value chunks to GPT‑4.5.
  • Stream and stop early. In streaming mode you can halt the response once you have what you need, saving unused output tokens.

Comparing GPT-4.5 with Other OpenAI Models

Our calculator makes comparing GPT-4.5 with other alternatives easy. Here’s when GPT-4.5 is the smart pick:

Feature GPT‑4.5 GPT‑4o o1
Context 128 k 128 k 200 k
Max output 16 384 tokens 8 192 32 k
Vision ✅ (image‑in) ✅ (full multi‑modal)
Audio / video
Price (input / output) $75 / $150 $2.50 / $5 $15 / $60
Strength Creative, empathetic, broad knowledge Fast, cheap, multi‑modal Deep reasoning

When not to choose GPT‑4.5

  • Heavy reasoning or code‑audit work? o1’s chain‑of‑thought engine is cheaper and more reliable for multi‑step logic.
  • Short, multimodal conversations? GPT‑4o is 30× cheaper and supports audio/video.
  • Simple Q&A on well‑structured data? o3‑mini or Claude 3 Haiku can do it for pennies.

Who Should Use the GPT-4.5 Pricing Calculator?

Use case Why GPT‑4.5 helps How the calculator saves headaches
Content & copy teams On‑brand tone, creative phrasing, long‑form coherence Forecast per‑article cost before green‑lighting large batches
Product designers Detailed UX copy, persona‑based feedback, naming ideas Estimate spend for multi‑iteration brainstorming sessions
Educators & coaches Personalized lesson plans, empathetic tutoring replies Budget weekly token allowances per student
Marketing agencies Campaign concepts, multilingual slogans, style‑matching Compare GPT‑4.5 vs GPT‑4o pricing for each client’s scope
Researchers Literature digests, hypothesis brainstorming, plain‑language summaries Prevent sticker shock on 50‑paper meta‑analyses
Entrepreneurs building AI tools Premium chatbots, writing assistants, ideation engines Model cost of free‑tier usage vs paid plans before launch

LiveChatAI’s Additional Free Tools

Discover and compare more AI models easily with our other calculators:

Ready to Clearly Predict Your GPT-4.5 Costs?

Try our GPT-4.5 Pricing Calculator now and see clearly, instantly, and easily what your GPT-4.5 usage costs will be. Remove uncertainty, stay within budget, and enjoy all the creative power GPT-4.5 provides, stress-free.

GPT-4.5 brings incredible creativity and conversational warmth—perfect for tasks that need EQ, imagination, and accuracy. With the GPT-4.5 Pricing Calculator, budgeting for this powerful AI is transparent and simple, helping you confidently harness GPT-4.5’s full potential.

Remember: GPT‑4.5 leaves the stage on 14 July 2025. Use the calculator, finish your projects, and start migrating to GPT‑4.1 sooner rather than later.

Frequently asked questions

How do I handle GPT‑4.5 deprecation and migrate to GPT‑4.1?
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You’re worried about your existing GPT‑4.5 integrations going dark.– Review your current prompts and usage patterns in the calculator, then plug the same inputs into the GPT‑4.1 Pricing Calculator. Adjust for GPT‑4.1’s token rates and context limits. Start testing GPT‑4.1 in a staging environment nowiron out any prompt tweaks before July14.
Can the calculator help me plan for team‑wide usage caps?
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If you’re on a ChatGPT Pro/Team plan with weekly message limits. Convert your weekly message cap into token‑equivalent (average tokens per call × max calls). Use the calculator’s “Total project cost” to see whether you hit the cap, then adjust your per‑call parameters (e.g. shorter replies) to stay within limits.
What’s the difference between fresh and cached input?
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- Fresh input ($75/1 M tokens): any new or changed prompt.
- Cached input ($37.50/1 M tokens): identical, repeated prompts earn a 50 % discount.
How does GPT‑4.5’s cost compare to GPT‑4o?
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- GPT‑4.5 is $75/1 M tokens input and $150/1 M tokens output.
- GPT‑4o is $2.50/1 M tokens input and $5/1 M tokens output.
⇒ GPT‑4o is roughly 30× cheaper per token,
so it’s better for high‑volume or multimodal (audio/video) workloads.