GPT-4.1

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

Texti og spjallNýttTiltækt

eftir OpenAIgpt-4-1

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

Prófaðu það Fáðu API-lykil Bera saman

Verð · 1M inn / út: 2,40 USD / 9,60 USD
Samhengi: 1.000.000 tákn
Hámarksúttak: 32.768 tákn
Inntak → úttak: Texti → Texti
Þróunaraðili: OpenAI
Uppfært: 23. september 2026

Leiksvæði

Prófaðu GPT-4.1

Spjall

2,40 USD/1M inn

Sendu skilaboð. Svarið kemur í heilu sinni þegar módel er tilbúið (engin streymi).

Kerfisboð

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að hámarki 0,0099 USD · 0,99 inneign fráteknar

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Um GPT-4.1

StuttlegaFrá og með 23. september 2026

GPT-4.1 er módel frá OpenAI í flokknum Texti og spjall. Á Railwail kostar GPT-4.1 2,40 USD fyrir 1M inntakstóka og 9,60 USD fyrir 1M úttakstóka. Samhengisgluggi geymir 1.000.000 tákn og ein svör getur verið allt að 32.768 tákn löng.

Bakgrunnur

Um OpenAI

Stofnað 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.

Heimsækja OpenAI

Arkitektúr

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.

Breytur: Undisclosed (estimated multi-hundred billion parameters dense)
Samhengi: 1.047.576 tákn

Geta

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.

Þjálfun og leyfi

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).

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

Öryggispróf: 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.

Þekkt takmörk

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)

Rannsókargreinar

Verðlagning

Verð í Bandaríkjadölum. Notkun er rukkuð frá fyrirframgreiddum inneign.

Inntak	2,40 USD / 1M tákn
Úttakið	9,60 USD / 1M tákn

Reikningsfærðir eru tákn sem hver beiðni notar í raun.
1 inneign = 0,01 USD

Kostnaðarreiknir

Verðreiknir

Inntakstákn

/ beiðni

Úttakstákn

/ beiðni

Beiðnir

Samtals

0,72 USD

72 inneign

Fyrir hverja beiðni

0,0072 USD · 0,72 inneign

Hver beiðni er námunduð upp í 0,01 inneign.

API

Kallaðu GPT-4.1 með Railwail API-lyklinum þínum. Notaðu þessa módel-auðkenningu í beiðninni:

gpt-4-1API-skjöl Fáðu API-lykil

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);

Stilltu lykil þinn sem RAILWAIL_API_KEYBúa til API-lykil

Forskriftir

Módel-auðkenni: gpt-4-1
Þróunaraðili: OpenAI
Flokkur: Texti og spjall
Inntak: Texti
Úttak: Texti
Samhengisglugginn: 1.000.000 tákn
Hámark úttak: 32.768 tákn
Reikningur: Eftir notkun (tókar eða GPU-tími)
Stærð módels: Undisclosed (estimated multi-hundred billion parameters dense)
Leyfi: Proprietary commercial license via OpenAI API and Azure OpenAI Service. Not available through the ChatGPT consumer product.
Vörulistafærsla uppfærð: 23. september 2026

Merki

popular
coding
reasoning

Dæmi um leiðsögn

Dæmi úr Railwail-vörulistanum. Þau voru ekki mynduð lifandi á þessari síðu.

System Design
Design a URL shortener service. What are the key components and how would you handle 10 million requests per day?
Sýna dæmi um svar
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'.
Sýna dæmi um svar
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.

Notkunartilvik

Það sem það er notað fyrir

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

Tengdar leiðbeiningar

Best Large Language Models

Öll módel í Texti og spjall

Algengar spurningar

Hvað er GPT-4.1?

GPT-4.1 er módel frá OpenAI í flokknum Texti og spjall. Á Railwail geturðu kallað það með API-lykli í gegnum Railwail API.

Hvað kostar GPT-4.1 á Railwail?

Á Railwail kostar GPT-4.1 2,40 USD fyrir 1M inntakstóka og 9,60 USD fyrir 1M úttakstóka. Þér er rukkað fyrir það sem hver beiðni notar í raun. Notkun er greidd úr fyrirframgreiddum inneign; 1 inneign jafngildir 0,01 USD.

Hversu stór er samhengisgluggi GPT-4.1?

Samhengisgluggi GPT-4.1 geymir 1.000.000 tákn. Ein svör getur verið allt að 32.768 tákn löng.

Hversu hratt er GPT-4.1?

Það eru ekki nóg mældar keyrslur af GPT-4.1 á Railwail ennþá til að tilgreina keyrslutíma. Það fer eftir inntakinu, stillingum og álagi hjá veitandanum.

Er GPT-4.1 betra en Claude Fable 5.1?

Það fer eftir verkefninu. GPT-4.1 (OpenAI) og Claude Fable 5.1 (Anthropic) eru bæði módel í flokknum Texti og spjall. Samanburðarsíðan sýnir verð og forskriftir þeirra hlið við hlið.

Bera saman GPT-4.1 og Claude Fable 5.1

Hvernig nota ég GPT-4.1 í gegnum API?

Búðu til Railwail API-lykil og sendu beiðni þína með módel-auðkenninu gpt-4-1. Kóðadæmi fyrir curl, Python og JavaScript eru í API-hlutanum á þessari síðu.

Sambærileg módel

Öll í þessum flokki

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 inn
400 % dýrara á einingu
Bera GPT-4.1 og Claude Fable 5.1 saman
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 inn
150 % dýrara á einingu
Bera GPT-4.1 og Claude Opus 4.8 saman
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 inn
100 % dýrara á einingu
Bera GPT-4.1 og Claude Opus 5.5 saman

Notaðu GPT-4.1 í gegnum API

Einn API-lykil fyrir öll módel á Railwail. Notkun er rukkuð frá fyrirframgreiddum inneign, 1 inneign = 0,01 USD.

Fáðu API-lykil Skoðaðu öll módel