GPT‑4.1  nano Pricing Calculator

Instantly calculate GPT‑4.1 nano costs with our free tool—no sign-up required. Scroll down for a detailed guide on pricing, use cases, and more.

Trusted by +2K businesses

GPT‑4.1 nano Cost Calculator + 2025 Token Pricing Guide

GPT-4.1 nano is the smallest, fastest, and most affordable member of the GPT-4.1 family. Sounds promising, right? Well, here’s some good news for you.

LiveChatAI’s GPT-4.1 nano pricing calculator shows you exactly how much this brand-new model will cost you, in just seconds.

Below, I’ll walk you through how to use the calculator, reveal the official 2025 token pricing for GPT-4.1 nano, and compare it with other popular LLMs like GPT-4.1, GPT-4.1 mini, GPT-4o, o1, Claude 3, and Gemini 2.5 Pro.

Using the GPT‑4.1 nano Pricing Calculator

1. Pick your measurement.

GPT-4.1 nano Pricing Calculator interface showing token, word, and character input options for cost estimation

Tokens for precision, words for rough planning, characters for copy‑paste from UI text.

2. Enter three numbers.

User input fields for entering input tokens, output tokens, and API calls on the GPT-4.1 nano Pricing Calculator.

Input size (your prompt length)
Output size (the model’s reply)
API calls (how many times you’ll hit the endpoint)

3. Read the breakdown.

Cost of input vs. output
Total per call
Grand total for the project
Auto‑comparison with GPT‑4.1, GPT‑4o, o1, Claude Opus, Gemini Pro, and DeepSeek‑V3

One‑Minute Cost Scenario;

Consider a startup that wants GPT‑4.1 nano to classify 50,000 support tickets by sentiment every night.

Measurement: Words
Average ticket length: 35 words (≈ 47 tokens)
Desired output: One‑word label (“positive,” “neutral,” “negative”) ≈ 1 word (≈ 1.3 tokens)
API calls: 50 000

Calculator output

Input: 50 000 × 47 tokens = 2.35 M tokens → $0.235
Output: 50 000 × 1.3 tokens = 65 k tokens → $0.026
Total nightly cost: $0.261
Monthly (30 runs): $7.83

💎 For the same workload, GPT-4.1 would cost about $46, GPT-4o roughly $58 and Claude Opus $125. I can say that small tasks are much more cost-effective with GPT-4.1 nano.”

Meet GPT‑4.1 nano

GPT-4.1 nano is the most affordable and lightweight model in OpenAI’s 2025 lineup. It supports a large 1 million-token context window, just like the larger GPT-4.1 models, but is designed to be faster and cheaper to run.

Feature	Details
Release date	14 April 2025
Context window	1 million tokens (yes, the full flagship window)
Output limit	Up to 32 k tokens per call
Modalities	Text in / text out (vision‑ready for charts & screenshots)
Benchmark highlights	80.1 % MMLU, 50.3 % GPQA, 9.8 % Aider polyglot diff
Latency	First token in < 5 s for 128 k‑token prompts
Ideal for	Ultra‑fast autocomplete, high‑volume classification, embedded agents, chat widgets, code linters

Official GPT‑4.1 nano Token Pricing

Token bucket	Price per 1 M	Why it matters
Fresh input	$0.10	The lowest per‑token price OpenAI has ever offered.
Cached input (‑75 %)	$0.025	Identical prompts (system messages, schemas) cost next to nothing.
Output	$0.40	4 times cheaper than GPT‑4.1’s $8.00.
Blended¹	$0.12	Typical mix of 25 % cached input / 75 % fresh input + 20 % output.

¹Blended = average cost many teams see in production.

Quick Pricing Notes;

Tokens vs. words: 1 word ≈ 1.33 tokens. Paste raw text into the calculator if you don’t want to count.
Long context is free: The 1 M‑token window carries zero surcharges—pay the same rate whether you send 10 k or 1 M tokens.
Batch discount: Run overnight jobs through OpenAI’s Batch API and slice another 50 % off the figures above.

GPT‑4.1 nano vs. Other LLM Models

Feature	GPT‑4.1 nano	GPT‑4.1 mini	GPT‑4.1	GPT‑4o	o1	Claude 3 Opus	Gemini 2.5 Pro
Context window	1 M	1 M	1 M	128 k	200 k	200 k	1 M (Batch)
Input price	$0.10	$0.40	$2.00	$2.50	$15.00	$15.00	$2.50
Output price	$0.40	$1.60	$8.00	$5.00	$60.00	$75.00	$15.00
MMLU	80.1 %	87.5 %	90.2 %	85.7 %	91.8 %	88 %	87 %
Latency (128 k)	< 5 s	~ 8 s	~ 15 s	~ 8 s	~ 25 s	~ 20 s	~ 18 s
Vision input	Soon	✅	✅	✅	❌	✅	✅
Best for	High‑volume, low‑cost tasks	Mid‑size apps	Long‑doc reasoning	Cheap multimodal chat	Chain‑of‑thought proofs	Factual depth & style	Google‑grounded mega‑context

Key Takeaways

Cheapest entry point into the 1 M‑token club.
Faster than everything except GPT‑4o mini, yet four‑times cheaper per token.
Beats GPT‑4o mini on reasoning (MMLU 80 % vs. 56 %).
Half the price of Gemini Pro input, one‑thirtieth of Claude Opus output.

When to Choose (or Skip) GPT‑4.1 nano

Choose GPT‑4.1 nano when you need…

Millions of tiny calls. Chat widgets, autocomplete, code linting, spam filters.
Fast turnaround. Sub‑5‑second first token for 128 k‑token prompts keeps UIs snappy.
1 M‑token memory at bargain rates. Bulk document tagging, giant transcript search.
Low‑risk experimentation. Prototype with pennies; scale once ROI is clear.
Batch ETL. Half‑price overnight jobs process terabytes without throttling live endpoints.

Skip GPT‑4.1 nano if you need…

Need	Better choice	Why
Rich, creative storytelling	GPT‑4.5 (while it lasts)	Higher “EQ,” narrative depth.
Audio or video I/O	GPT‑4o	Nano is text‑only today.
Visible chain‑of‑thought	o1	Reasoning tokens are shown and billed.
Multilingual nuance	GPT‑4.1 or Claude Opus	Nano’s scores dip on low‑resource languages.
Hardcore math proofs	o1	92 % on GPQA vs. nano’s 50 %.

Five Proven Tricks to Keep Your GPT‑4.1 nano Bill Tiny

Cache your system prompt. A 1 000‑token style guide costs $0.025 / M after the 75 % discount—basically free.
Stream + stop early. Pull the answer once it appears; don’t pay for fluff.
Pre‑filter with o3‑mini. Let a $1.10 / M model drop obvious negatives before nano.
Chunk giant docs. Three 300 k calls can outperform one 1 M call for both speed and cost.
Use Batch for non‑urgent runs. Nightly analytics at 50 % off beats throttling daytime traffic.

Who Gets the Most Value from This Calculator?

Developers & ML engineers validating per‑feature costs before shipping code.
Chatbot builders & conversational‑AI teams estimating per‑interaction expenses to optimize budgets
Product managers forecasting COGS for new AI features.
Finance teams monitoring burn on high‑volume classification or chat workloads.
Educators & researchers needing transparent, grant‑friendly budgeting.
Start‑ups iterating fast without risking surprise invoices.

More Free Cost Tools from LiveChatAI

Bookmark the lot and compare anytime, no sign‑up needed.

Ready to Crunch Your Numbers?

Plug your first prompt into the GPT‑4.1 nano Pricing Calculator now, see the cost instantly, and move forward with confidence—no spreadsheets, no surprises.

Try the calculator →

All prices and benchmarks sourced from OpenAI’s official GPT‑4.1 launch documentation.

Frequently asked questions

1. What exactly is GPT‑4.1  nano, and how does it differ from GPT‑4.1  mini or GPT‑4.1?

GPT‑4.1 nano is the smallest, fastest, and cheapest member of the GPT‑4.1 family. It shares the same 1 M‑token memory but runs on fewer parameters, so latency drops to sub‑5‑second first tokens and input costs fall to $0.10 / M. GPT‑4.1 mini offers more reasoning power at $0.40 / M, while full GPT‑4.1 maximizes accuracy at $2.00 / M.

2. What exactly is the OpenAI ChatGPT o1 Pricing Calculator, and why would I need it?

The calculator is a free web tool from LiveChatAI that translates your planned input size, output size, and number of API calls into a dollar figure using the official o1 rates published by OpenAI (last updated April 2025). Instead of guessing, or manually multiplying tokens by pennies, you get an instant, line‑item cost breakdown before you run a single prompt. That means fewer billing surprises and a clearer green‑light/kill‑switch moment for every project.

4. When should I pick o1 over GPT‑4o, Claude 3, or o3‑mini?

Choose o1 when your task demands both a massive context window (up to 200 k tokens) and deep multi‑step reasoning—think cross‑document legal analysis, multi‑file code audits, or PhD‑level research synthesis.If you mainly need multimodal inputs (images, video) or shorter bursts of text, GPT‑4o is cheaper. If you’re summarizing huge single documents with less complex reasoning, Claude 3 can be faster and more economical.For lightweight tasks where all the facts live in the prompt, o3‑mini is the budget pick.

How does the calculator turn words or characters into tokens for o1 pricing?

Tokens are the unit OpenAI bills on. Our calculator applies the same conversion math used in the OpenAI docs:
* 1 word ≈ 1.33 tokens*
* 4 characters ≈ 1 token*
You can paste a rough word count, a character count, or even the raw text itself. We run it through an open‑source tokenizer (the same one OpenAI’s API uses) and show you the exact token total that will hit your bill.

GPT‑4.1 nano Pricing Calculator