OpenAI: GPT-4.1 Nano

Public pricingIntelligence 73/100Huge memoryVisionOutils

OpenAI: GPT-4.1 Nano est un modèle multimodal conçu pour compréhension vision-langage. Il associe la gestion multimodale des entrées et la compréhension d’images, un contexte de 1M+ tokens et un profil à faible coût pour un travail fiable sur vision-language understanding and content analysis.

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.

Still unsure?

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