GPT-4.1

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

Tekst i chatNovoDostupno

od OpenAIgpt-4-1

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

Isprobaj Preuzmi API ključ Usporedi

Cijena · 1M ulaz/izlaz: 2,40 US$ / 9,60 US$
Kontekst: 1.000.000 tokena
Maks. izlaz: 32.768 tokena
Ulaz → izlaz: Tekst → Tekst
Razvojni inženjer: OpenAI
Ažurirano: 23. septembar 2026.

Playground

Isprobaj GPT-4.1

Razgovor

2,40 US$/1M in

Pošalji poruku. Odgovor stigne u cijelosti kada je model gotov (bez streaminga).

Sistemski prompt

Maks. duljina odgovora (tokeni)

⌘/Ctrl + Enter

Ovaj pokus

najviše 0,0099 US$ · 0,99 kredita rezervirano

Naplata se vrši prema stvarno korištenim tokenima; nekorišteni dio rezervacije se vraća.

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O GPT-4.1

UkratkoStanje: 23. septembar 2026.

GPT-4.1 je model od OpenAI iz kategorije Tekst i chat. Na Railwailu, GPT-4.1 košta 2,40 US$ po 1M ulaznih tokena i 9,60 US$ po 1M izlaznih tokena. Kontekstni prozor sadrži 1.000.000 tokena, a jedan odgovor može biti dugačak do 32.768 tokena.

Pozadina

O OpenAI

Osnovano 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.

Posjetite OpenAI

Arhitektura

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)
Kontekst: 1.047.576 tokena

Mogućnosti

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.

Obuka i licenca

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).

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

Testiranje sigurnosti: 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.

Poznata ograničenja

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)

Znanstveni članci

Cijene

Cijene u USD-u. Korištenje se naplaćuje iz unaprijed plaćenih kredita.

Ulaz	2,40 US$ / 1M tokena
Izlaz	9,60 US$ / 1M tokena

Naplaćuje se prema tokenima koje svaki zahtjev zapravo koristi.
1 kredit = 0,01 US$

Kalkulator troškova

Kalkulator cijena

Ulazni tokeni

/ zahtjev

Izlazni tokeni

/ zahtjev

Zahtjevi

Ukupno

0,72 US$

72 kredita

Po zahtjevu

0,0072 US$ · 0,72 kredita

Svaki zahtjev se zaokružuje na 0,01 kredita.

API

Pozovi GPT-4.1 sa svojim Railwail API ključem. Koristi ovaj ID modela u zahtjevu:

gpt-4-1Pogledaj API dokumentaciju Dobij API ključ

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);

Postavite ključ kao RAILWAIL_API_KEYKreiraj API ključ

Specifikacije

ID modela: gpt-4-1
Razvojni inženjer: OpenAI
Kategorija: Tekst i chat
Ulaz: Tekst
Izlaz: Tekst
Kontekstni prozor: 1.000.000 tokena
Maks. izlaz: 32.768 tokena
Naplata: Po potrošnji (tokeni ili GPU vrijeme)
Veličina modela: Undisclosed (estimated multi-hundred billion parameters dense)
Licenca: Proprietary commercial license via OpenAI API and Azure OpenAI Service. Not available through the ChatGPT consumer product.
Katalog ažuriran: 23. septembar 2026.

Oznake

popular
coding
reasoning

Primjer promptova

Primjeri iz Railwail kataloga. Nisu generirani uživo na ovoj stranici.

System Design
Design a URL shortener service. What are the key components and how would you handle 10 million requests per day?
Prikaži primjer odgovora
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'.
Prikaži primjer odgovora
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.

Primjena

Za što se koristi

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

Povezani vodiči

Best Large Language Models

Svi modeli: Tekst i chat

Često postavljana pitanja

Što je GPT-4.1?

GPT-4.1 je model od OpenAI iz kategorije Tekst i chat. Na Railwailu ga možete pozvati s API ključem kroz Railwail API.

Koliko stoji GPT-4.1 na Railwailu?

Na Railwailu, GPT-4.1 košta 2,40 US$ po 1M ulaznih tokena i 9,60 US$ po 1M izlaznih tokena. Naplaćuje se ono što svaki zahtjev zapravo koristi. Korištenje se plaća iz unaprijed kupljenih kredita; 1 kredit jednaka je 0,01 US$.

Koliki je kontekstni prozor od GPT-4.1?

Kontekstni prozor od GPT-4.1 sadrži 1.000.000 tokena. Jedan odgovor može biti dugačak do 32.768 tokena.

Koliko je brz GPT-4.1?

Za GPT-4.1 na Railwailu još nema dovoljno izmjerenih pokretanja da bi se navedlo vrijeme izvršavanja. Ovisi o unošenju, postavkama i opterećenju kod pružatelja.

Je li GPT-4.1 bolji od Claude Fable 5.1?

To ovisi o zadatku. GPT-4.1 (OpenAI) i Claude Fable 5.1 (Anthropic) su oba modela iz kategorije Tekst i chat. Stranica za usporedbu prikazuje njihove cijene i specifikacije usporedno.

Usporedi GPT-4.1 i Claude Fable 5.1

Kako koristim GPT-4.1 kroz API?

Kreiraj Railwail API ključ i pošalji svoj zahtjev s ID-om modela gpt-4-1. Primjeri koda za curl, Python i JavaScript nalaze se u odjeljku API na ovoj stranici.

Usporedivi modeli

Svi u ovoj kategoriji

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 US$/1M in
400 % skupnije po jedinici
Usporedi GPT-4.1 i Claude Fable 5.1
Claude Opus 4.8Anthropic
The most capable model of Anthropic's Opus 4 series. State of the art on long-horizon agentic work, coding and knowledge tasks, with a 1M-token context window at standard pricing.
6,00 US$/1M in
150 % skupnije po jedinici
Usporedi GPT-4.1 i 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 US$/1M in
100 % skupnije po jedinici
Usporedi GPT-4.1 i Claude Opus 5.5

Koristi GPT-4.1 preko API-ja

Jedan API ključ za sve modele na Railwailu. Korištenje se naplaćuje iz unaprijed plaćenih kredita, 1 kredit = 0,01 US$.

Dobij API ključ Pogledaj sve modele