GPT-4.1

Name: GPT-4.1
Brand: OpenAI
SKU: gpt-4-1
Price: 2.4 USD
Availability: InStock

Text și chatNouDisponibil

de OpenAIgpt-4-1

OpenAI's newest flagship model. Improved reasoning, instruction following, and coding over GPT-4o.

Încearcă Obține cheie API Compară

Preț · 1M intrare/ieșire: 2,40 USD / 9,60 USD
Context: 1.000.000 tokeni
Ieșire max.: 32.768 tokeni
Intrare → ieșire: Text → Text
Dezvoltator: OpenAI
Actualizat: 23 septembrie 2026

Playground

Încearcă GPT-4.1

Chat

2,40 USD/1M in

Trimite un mesaj. Răspunsul sosește complet când modelul termină (fără streaming).

Prompt de sistem

Lungimea max. a răspunsului (tokeni)

⌘/Ctrl + Enter

Această rulare

maximum 0,0099 USD · 0,99 credite rezervate

Se factureaza tokenurile efectiv utilizate; partea nefolosita a rezervării este rambursată.

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10 credite gratuite (0,10 USD) când te înregistrezi cu Google

Utilizabil 24 ore după înregistrare, până la 5 rulări pe zi și maximum 2 credite pe rulare. Alte metode de conectare încep fără credite. Suficient pentru 10 rulări ale acestui model.

Despre GPT-4.1

Pe scurtDin 23 septembrie 2026

GPT-4.1 este un model de OpenAI din categoria Text și chat. Pe Railwail, GPT-4.1 costă 2,40 USD per 1M tokeni de intrare și 9,60 USD per 1M tokeni de ieșire. Fereastra de context conține 1.000.000 token-uri, iar un răspuns poate fi lung de până la 32.768 token-uri.

Fundal

Despre OpenAI

Fondat 2015 · San Francisco, USA

OpenAI was founded in 2015 as a non-profit research lab by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, Wojciech Zaremba and John Schulman. In 2019 it transitioned into a capped-profit company to raise capital from Microsoft, which has invested over $13 billion. OpenAI is the publisher of the GPT series papers (GPT-1 in 2018, GPT-2 in 2019, GPT-3 in 2020, GPT-4 Technical Report in 2023), the InstructGPT paper that introduced RLHF for instruction following, and the GPT-4o System Card. Major products include ChatGPT (launched November 2022, with over 200M weekly active users), the OpenAI API, the o-series reasoning models, Sora for text-to-video and DALL-E for image generation. GPT-4.1 was released in April 2025 as an API-only model family (4.1, 4.1 mini and 4.1 nano) optimised for developers, with major improvements over GPT-4o on coding, instruction following and long-context tasks. The 2025 reported valuation exceeded $300 billion.

Vizitează OpenAI

Arhitectură

Decoder-only Transformer (developer-focused flagship)

GPT-4.1 launched in April 2025 as an API-only successor to GPT-4o aimed primarily at developers and agentic workloads. It is a decoder-only Transformer trained on an updated multi-trillion-token mixture of text, code and image-text pairs, with a knowledge cutoff of June 2024. The model family ships in three sizes (4.1, 4.1 mini, 4.1 nano) sharing the same training recipe but distilled to different capability/latency points. The headline change versus GPT-4o is a 1,047,576-token context window (~1M tokens), validated with new long-context evaluations such as OpenAI's MRCR (Multi-Round Coreference Resolution) and Graphwalks benchmarks. Post-training emphasised coding (SWE-bench Verified moved to 54.6% from 33% on GPT-4o), instruction following on edge-case formats, and reliable behaviour in long agent loops. OpenAI used reinforcement learning against verifiable rewards and large-scale synthetic data generation to push these axes. The model deprecates GPT-4.5 Preview from the API and is positioned as the production workhorse for ChatGPT Enterprise and Team deployments. Vision input is supported in all three sizes, function calling and Structured Outputs are first-class, and pricing is roughly 26% cheaper than GPT-4o at launch.

Parametri: Undisclosed (estimated multi-hundred billion parameters dense)
Context: 1.047.576 tokeni

Capabilități

1,047,576 token context window (~1M tokens)
Major coding improvement: 54.6% on SWE-bench Verified at launch
Strong instruction following on edge-case formats and negative constraints
Reliable behaviour over long agent loops
Vision input across all three model sizes (4.1, mini, nano)
Function calling, parallel tool calls and Structured Outputs
Knowledge cutoff June 2024 (later than GPT-4o)
About 26% cheaper than GPT-4o at launch
Diff-style file editing and applied-diff coding workflows
Improved multilingual non-English benchmark performance
Best for: coding agents, IDE copilots, large-document analysis, production assistants.

Antrenament & licență

Pretrained on a multi-trillion-token web-scale mixture of text, code repositories, books, licensed datasets and image-text pairs. Knowledge cutoff is June 2024. Post-training combined supervised fine-tuning, RLHF and reinforcement learning against verifiable rewards (especially for code).

Licență: Proprietary commercial license via OpenAI API and Azure OpenAI Service. Not available through the ChatGPT consumer product.

Teste de siguranță: Evaluated under OpenAI's Preparedness Framework v2 across CBRN, cyber, persuasion and autonomy axes. External red-teamers and OpenAI's Safety Advisory Group reviewed before launch.

Limitări cunoscute

API-only, no ChatGPT consumer access initially
1M context window is supported but quality degrades on cross-document recall vs nominal capacity
Higher cost than GPT-4o mini for cost-sensitive use cases
Still hallucinates citations and exact quotes
No native audio I/O (use GPT-4o for voice)

Lucrări de cercetare

Prețuri

Prețuri în dolari americani. Utilizarea se percepe din credite prepay.

Intrare	2,40 USD / 1M token-uri
Ieșire	9,60 USD / 1M token-uri

Se facturează token-urile pe care le folosește efectiv fiecare cerere.
1 credit = 0,01 USD

Calculator de costuri

Calculator de preț

Token-uri de intrare

/ cerere

Token-uri de ieșire

/ cerere

Cereri

Total

0,72 USD

72 credite

Pe cerere

0,0072 USD · 0,72 credite

Fiecare cerere este rotunjită la 0,01 credite.

API

Apelează GPT-4.1 cu cheia ta API Railwail. Folosește acest ID de model în cerere:

gpt-4-1Documentația API Obține o cheie API

curl https://railwail.com/api/v1/chat/completions \
  -H "Authorization: Bearer $RAILWAIL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4-1",
    "messages": [
      {
        "role": "user",
        "content": "Explain what a vector database is in two sentences."
      }
    ],
    "max_tokens": 1024
  }'

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["RAILWAIL_API_KEY"],
    base_url="https://railwail.com/api/v1",
)

completion = client.chat.completions.create(
    model="gpt-4-1",
    messages=[
        {
            "role": "user",
            "content": "Explain what a vector database is in two sentences.",
        },
    ],
    max_tokens=1024,
)

print(completion.choices[0].message.content)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.RAILWAIL_API_KEY,
  baseURL: "https://railwail.com/api/v1",
});

const completion = await client.chat.completions.create({
  model: "gpt-4-1",
  messages: [
    {
      role: "user",
      content: "Explain what a vector database is in two sentences."
    }
  ],
  max_tokens: 1024
});

console.log(completion.choices[0].message.content);

// npm install railwail
import railwail from "railwail";

const rw = railwail(process.env.RAILWAIL_API_KEY);

const res = await rw.chat("gpt-4-1", [
  { role: "user", content: "Explain what a vector database is in two sentences." },
], { max_tokens: 1024 });

console.log(res.choices[0].message.content);

Setează cheia ca RAILWAIL_API_KEYCreează cheie API

Specificații

ID model: gpt-4-1
Dezvoltator: OpenAI
Categorie: Text și chat
Intrare: Text
Ieșire: Text
Fereastră de context: 1.000.000 tokeni
Ieșire max.: 32.768 tokeni
Facturare: După utilizare (tokeni sau timp GPU)
Dimensiune model: Undisclosed (estimated multi-hundred billion parameters dense)
Licență: Proprietary commercial license via OpenAI API and Azure OpenAI Service. Not available through the ChatGPT consumer product.
Intrare catalog actualizată: 23 septembrie 2026

Etichete

popular
coding
reasoning

Indicații de exemplu

Exemple din catalogul Railwail. Nu au fost generate live pe această pagină.

System Design
Design a URL shortener service. What are the key components and how would you handle 10 million requests per day?
Arată răspunsul exemplu
A URL shortener at 10M req/day needs: 1) An API layer behind a load balancer to accept long URLs and return short codes. 2) A base62 encoding scheme (a-z, A-Z, 0-9) generating 6-character codes, yielding 56 billion unique URLs. 3) A distributed key-value store like Redis for fast lookups with a persistent database (PostgreSQL) as the source of truth. 4) A caching layer (CDN + Redis) since reads vastly outnumber writes. 5) Rate limiting per IP/API key to prevent abuse. At ~115 req/sec average, a few application servers with horizontal scaling can handle the load comfortably.
Instruction Following
Write exactly 3 sentences about black holes. Each sentence must contain exactly 10 words. Do not use the word 'space'.
Arată răspunsul exemplu
Black holes form when massive stars collapse under their gravity. Light cannot escape the intense gravitational pull they create. Scientists study these mysterious objects using powerful telescopes and math.

Cazuri de utilizare

Pentru ce se folosește

Autonomous coding agents
IDE copilots and pair programmers
Long-document and codebase analysis
Customer support over 1M token transcripts
Enterprise RAG and chat assistants
Tool-using agents in production

Ghiduri conexe

Best Large Language Models

Toate modelele din Text și chat

Întrebări frecvente

Ce este GPT-4.1?

GPT-4.1 este un model de OpenAI din categoria Text și chat. Pe Railwail îl poți apela cu o cheie API prin Railwail API.

Cât costă GPT-4.1 pe Railwail?

Pe Railwail, GPT-4.1 costă 2,40 USD per 1M tokeni de intrare și 9,60 USD per 1M tokeni de ieșire. Ți se percepe taxa pentru ceea ce fiecare cerere folosește efectiv. Utilizarea se plătește din credite prepay; 1 credit egal cu 0,01 USD.

Care este fereastra de context a GPT-4.1?

Fereastra de context a GPT-4.1 conține 1.000.000 token-uri. Un răspuns poate fi lung de până la 32.768 token-uri.

Cât de rapid este GPT-4.1?

Nu sunt suficiente rulări măsurate ale GPT-4.1 pe Railwail încă pentru a indica un timp de rulare. Depinde de intrare, de setări și de sarcina la furnizor.

Este GPT-4.1 mai bun decât Claude Fable 5.1?

Depinde de sarcină. GPT-4.1 (OpenAI) și Claude Fable 5.1 (Anthropic) sunt ambele modele din categoria Text și chat. Pagina de comparație arată prețurile și specificațiile lor una lângă alta.

Compară GPT-4.1 și Claude Fable 5.1

Cum folosesc GPT-4.1 prin API?

Creează o cheie Railwail API și trimite cererea cu ID-ul modelului gpt-4-1. Exemple de cod pentru curl, Python și JavaScript sunt în secțiunea API a acestei pagini.

Modele comparabile

Toate din această categorie

Claude Fable 5.1Anthropic
Anthropic's model for the most demanding reasoning and long-horizon agentic work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.
12,00 USD/1M in
400 % mai scump pe unitate
Compară GPT-4.1 vs. Claude Fable 5.1
Claude Opus 4.8Anthropic
The most capable model of Anthropic's Opus 4 series. State of the art on long-horizon agentic work, coding and knowledge tasks, with a 1M-token context window at standard pricing.
6,00 USD/1M in
150 % mai scump pe unitate
Compară GPT-4.1 vs. Claude Opus 4.8
Claude Opus 5.5Anthropic
Anthropic's current Opus model for long-running agentic coding and knowledge work. 1M-token context window, up to 128K output tokens, adaptive thinking that is always on.
4,80 USD/1M in
100 % mai scump pe unitate
Compară GPT-4.1 vs. Claude Opus 5.5

Folosește GPT-4.1 prin API

O cheie API pentru fiecare model pe Railwail. Utilizarea se percepe din credite prepay, 1 credit = 0,01 USD.

Obține cheie API Vizualizează toate modelele