GPT-4o

Name: GPT-4o
Brand: OpenAI
SKU: gpt-4o
Price: 3 USD
Availability: InStock

Tekst & chatTilgængelig

af OpenAIgpt-4o

OpenAI's most capable multimodal model. Excellent for complex reasoning, coding, and creative tasks.

Prøv det Få API-nøgle Sammenlign

Pris · 1M ind/ud: 3,00 US$ / 12,00 US$
Kontekst: 128.000 tokens
Maks. output: 16.384 tokens
Input → output: Tekst → Tekst
Udvikler: OpenAI
Opdateret: 23. september 2026

Playground

Prøv GPT-4o

Chat

3,00 US$/1M in

Send en besked. Svaret ankommer fuldt ud, når modellen er færdig (uden streaming).

Systemprompt

Maks. svarslængde (tokens)

⌘/Ctrl + Enter

Denne kørsel

højst 0,0123 US$ · 1,23 credits reserveret

Fakturering efter faktisk brugte tokens; den ubrugte del af reservationen refunderes.

Ny her?

10 gratis credits (0,10 US$) når du tilmelder dig med Google

Kan bruges 24 timer efter tilmelding, op til 5 kørsler pr. dag og højst 2 credits pr. kørsel. Andre login-metoder starter uden credits. Nok til 8 kørsler af denne model.

Om GPT-4o

Kort sagtFra 23. september 2026

GPT-4o er en model af OpenAI i kategorien Tekst & chat. På Railwail koster GPT-4o 3,00 US$ pr. 1M inputtokens og 12,00 US$ pr. 1M outputtokens. Kontekstvinduet indeholder 128.000 tokens, og et svar kan være op til 16.384 tokens langt.

Baggrund

Om OpenAI

Grundlagt 2015 · San Francisco, USA

OpenAI was founded in December 2015 by Sam Altman, Elon Musk, Greg Brockman, Ilya Sutskever, Wojciech Zaremba and John Schulman as a non-profit AI research lab with a $1B pledged commitment. The lab restructured into a capped-profit company (OpenAI LP) in 2019 to attract capital from Microsoft, which has invested over $13 billion. OpenAI's most-cited papers include 'Improving Language Understanding by Generative Pre-Training' (GPT-1, 2018), 'Language Models are Few-Shot Learners' (GPT-3, 2020), the GPT-4 Technical Report (2023) and the InstructGPT/RLHF paper (2022). The ChatGPT consumer product, launched in November 2022, reached 100M weekly active users faster than any consumer software in history. Product milestones include GPT-3.5, GPT-4 (March 2023), GPT-4 Turbo, GPT-4o (May 2024), the o1/o3 reasoning family (late 2024/2025), GPT-4.1 (April 2025) and the Sora video model. Sam Altman is CEO. The company's last reported valuation in 2025 exceeded $300 billion.

Besøg OpenAI

Arkitektur

Decoder-only Transformer (natively multimodal)

GPT-4o (the 'o' stands for 'omni') was released in May 2024 as OpenAI's first natively multimodal flagship: a single neural network trained end-to-end on text, audio and images, replacing the earlier cascade of separate ASR, LLM and TTS pipelines used by ChatGPT Voice. Inputs and outputs can be any combination of text, audio and image tokens, and the model emits audio with a median response latency of 320ms for spoken conversation. Architecturally it is a decoder-only Transformer with a unified tokenizer that mixes BPE text tokens, image patches and discretised audio frames. Pretraining used a multi-trillion-token web-scale corpus filtered for quality, plus large image-text pair datasets and licensed audio. Post-training applied RLHF with human raters, model-graded rewards and red-teaming under OpenAI's Preparedness Framework. GPT-4o introduced a new tokenizer with substantially better compression for non-English scripts, reducing token counts by 1.1x-4.4x across languages such as Hindi, Arabic, Korean and Tamil. The context window is 128K tokens with 16K maximum output. Function calling, JSON mode, vision input and Structured Outputs (with strict schema adherence) are first-class. The model card discloses Preparedness Framework evaluations against CBRN, cyber and persuasion risks.

Parametre: Undisclosed (estimated in the hundreds of billions, dense)
Kontekst: 128.000 tokens

Funktioner

Natively multimodal: text, image and audio in and out
Real-time voice conversation with sub-second latency
128K context window with 16K max output
Improved non-English tokenizer (up to 4.4x fewer tokens for some languages)
Vision: charts, diagrams, screenshots, OCR
Function calling and parallel tool calls
Structured Outputs with strict JSON schema
Strong coding performance with file editing via tools
Singing, emotional speech and laughter in audio mode
Multilingual fluency across 50+ languages
Best for: real-time voice agents, multimodal assistants, general-purpose chat, vision tasks.

Træning og licens

Trained on a multi-trillion-token mixture of web text, code, books, licensed third-party data and large image-text and audio datasets. Knowledge cutoff is October 2023. OpenAI does not disclose exact dataset composition.

Licens: Proprietary, available via OpenAI API and Azure OpenAI Service. Commercial use allowed under OpenAI Terms of Use.

Sikkerhedstests: Evaluated under OpenAI's Preparedness Framework across CBRN, cyber, persuasion and model autonomy risks. External red-teamers included over 100 experts in chemistry, biology, security and misinformation.

Kendte begrænsninger

Can hallucinate citations and factual details
Voice mode sometimes mimics user voice unexpectedly
Knowledge cutoff October 2023 without tools
Performance on hardest reasoning trails o-series models
Audio output is not available in all API regions

Forskningsartikler

Priser

Priser i US-dollar. Forbrug debiteres fra forudbetalte credits.

Input	3,00 US$ / 1M tokens
Output	12,00 US$ / 1M tokens

Faktureres efter de tokens, som hver anmodning faktisk bruger.
1 kredit = 0,01 US$

Omkostningsberegner

Prisberegner

Input-tokens

/ anmodning

Output-tokens

/ anmodning

Anmodninger

I alt

0,90 US$

90 credits

Pr. anmodning

0,009 US$ · 0,9 credits

Hver anmodning rundes op til 0,01 credits.

API

Kald GPT-4o med din Railwail API-nøgle. Brug dette model-ID i anmodningen:

gpt-4oAPI-dokumentation Få en API-nøgle

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

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

Indstil din nøgle som RAILWAIL_API_KEYOpret API-nøgle

Specifikationer

Model-ID: gpt-4o
Udvikler: OpenAI
Kategori: Tekst & chat
Input: Tekst
Output: Tekst
Kontekstvindue: 128.000 tokens
Maks. output: 16.384 tokens
Fakturering: Efter forbrug (tokens eller GPU-tid)
Modelstørrelse: Undisclosed (estimated in the hundreds of billions, dense)
Licens: Proprietary, available via OpenAI API and Azure OpenAI Service. Commercial use allowed under OpenAI Terms of Use.
Katalogelement opdateret: 23. september 2026

Eksempelprompts

Eksempler fra Railwail-kataloget. De blev ikke genereret live på denne side.

Creative Writing
Write a haiku about the first snowfall of winter
Vis eksempelsvar
Silent flakes descend, blanketing the sleeping earth— winter whispers soft.
Complex Analysis
Explain the difference between supervised and unsupervised machine learning in simple terms
Vis eksempelsvar
Supervised learning is like studying with an answer key—you feed the model labeled examples so it learns to predict the correct output. Unsupervised learning is more like exploring a dataset without labels, where the model discovers hidden patterns, groupings, or structures on its own. Think of it as the difference between a teacher grading your homework versus sorting a pile of unlabeled photos into albums by similarity.

Anvendelsestilfælde

Hvad det bruges til

Real-time voice assistants
Multimodal customer support
Vision-based document analysis
Coding copilots with tool use
Live translation
Accessibility tools

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Ofte stillede spørgsmål

Hvad er GPT-4o?

GPT-4o er en model fra OpenAI i kategorien Tekst & chat. På Railwail kan du kalde den med en API-nøgle via Railwail API.

Hvad koster GPT-4o på Railwail?

På Railwail koster GPT-4o 3,00 US$ pr. 1M inputtokens og 12,00 US$ pr. 1M outputtokens. Du betaler for det, som hver anmodning faktisk bruger. Forbrug betales fra forudbetalte credits; 1 credit svarer til 0,01 US$.

Hvad er kontekstvinduet for GPT-4o?

Kontekstvinduet for GPT-4o indeholder 128.000 tokens. Et svar kan være op til 16.384 tokens langt.

Hvor hurtig er GPT-4o?

Der er endnu ikke nok målte kørsler af GPT-4o på Railwail til at angive en udførelsestid. Det afhænger af inputtet, indstillingerne og belastningen hos provideren.

Er GPT-4o bedre end Claude Fable 5.1?

Det afhænger af opgaven. GPT-4o (OpenAI) og Claude Fable 5.1 (Anthropic) er begge modeller i kategorien Tekst & chat. Sammenligningssiden viser deres priser og specifikationer side om side.

Sammenlign GPT-4o og Claude Fable 5.1

Hvordan bruger jeg GPT-4o via API'en?

Opret en Railwail API-nøgle og send din anmodning med model-ID'en gpt-4o. Kodeeksempler til curl, Python og JavaScript findes i API-sektionen på denne side.

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Brug GPT-4o via API'en

En API-nøgle til alle modeller på Railwail. Forbrug debiteres fra forudbetalte credits, 1 credit = 0,01 US$.

Få API-nøgle Se alle modeller