OpenAI: GPT-4.1 Nano

Public pricingIntelligence 73/100Huge memoryविज़नटूल उपयोग

OpenAI: GPT-4.1 Nano एक मल्टीमॉडल मॉडल है, जिसे vision-language समझ के लिए बनाया गया है। यह multimodal input handling، छवि समझ, 1M+ tokens का context और कम लागत profile जोड़कर vision-language understanding and content analysis में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.10/1M

Output

$0.40/1M

Cached

$0.03/1M

Batch

$0.05/1M

Calculate your GPT-4.1 Nano bill.

Set your workload — see cost at your exact volume.

What would GPT-4.1 Nano cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

GPT-4.1 Nano at a glance.

Memory

1,047,576

tokens

Max reply

32,768

tokens

Memory tier

Huge

multiple books or whole repositories

Tokenizer

tiktoken-o200k

Released

Apr 2025

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • gpqa_diamond

    50.3

  • mmlu

    80.1

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick GPT-4.1 Nano

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

GPT-4.1 Nano — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, GPT-4.1 Nano costs roughly $24 per month. Input is $0.10 /1M tokens and output is $0.40 /1M tokens.
GPT-4.1 Nano has a 1,047,576-token context window (huge memory — multiple books or whole repositories). That means you can fit about 196,421 words of input and history in a single call.
Beyond text generation, GPT-4.1 Nano supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
GPT-4.1 Nano was released in April 2025, with training data cut off around June 2024.
Models in a similar class include GPT-5 Nano, GPT-5.4 Nano, GPT-5 Mini. The "Similar models" section below this FAQ links into each.

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