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openai
openai/gpt-5.5

openai/gpt-5.5

1,050,000 context · $5.00/M input tokens · $30.00/M output tokens

GPT-5.5 is OpenAI's frontier model released April 23, 2026, featuring a 1M+ token context window (922K input, 128K output) with text and image support. It scores 88.7% on SWE-bench Verified and 92.4% on MMLU with 60% fewer hallucinations than GPT-5.4, excelling at agentic coding, computer use, and deep research while matching GPT-5.4 per-token latency.

Precios

Pago por uso

Sin costos iniciales, paga solo por lo que uses

Entrada
272K $5.00 / M Tokens
> 272K $10.00 / M Tokens
Salida
272K $30.00 / M Tokens
> 272K $45.00 / M Tokens

Uso de API

Usa los siguientes ejemplos de código para integrar con nuestra API:

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-5.5",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)

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

Introducción del modelo

OpenAI GPT-5.5

GPT-5.5 is OpenAI's frontier model released on April 23, 2026, designed for complex professional workloads including agentic coding, computer use, and deep research. Building on GPT-5.4, it delivers stronger reasoning, higher reliability with 60% fewer hallucinations, and improved token efficiency — matching GPT-5.4 per-token latency while performing at a significantly higher level of intelligence. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs.


Why It Looks Great

  • Frontier-class reasoning with 88.7% SWE-bench Verified and 92.4% MMLU scores
  • 1M token context window for large-scale reasoning, coding, and multimodal workflows
  • 60% fewer hallucinations compared to GPT-5.4 with improved token efficiency
  • Three variants: standard, Thinking (extended reasoning), and Pro (highest accuracy)
  • Same per-token latency as GPT-5.4 despite the intelligence leap

Key Features

  • Context Window: 1050000 tokens
  • Max Input: 922000 tokens
  • Max Output: 128000 tokens
  • Vision: Supported
  • Function Calling: Supported
  • Thinking Mode: Supported (low / medium / high / xhigh effort levels)
  • Variants: GPT-5.5, GPT-5.5 Thinking, GPT-5.5 Pro

Benchmarks

BenchmarkGPT-5.4GPT-5.5Claude Opus 4.7Gemini 3.1 Pro
SWE-bench Verified~74%88.7%87.6%80.6%
MMLU91.1%92.4%
Terminal-Bench 2.082.7%
Expert-SWE73.1%
GDPval (44 occupations)84.9%
OSWorld-Verified78.7%
Hallucination ratebaseline−60%

Specifications

SpecificationValue
ProviderOpenAI
Model TypeLarge Language Model (LLM)
ArchitectureTransformer (Frontier)
Context Window1050000 tokens
Max Input922000 tokens
Max Output128000 tokens
InputText, Image
OutputText
VisionSupported
Function CallingSupported
Thinking ModeSupported
Release DateApril 23, 2026

Note: GPT-5.5 is 2× GPT-5.4 at the token level, but uses significantly fewer tokens to complete the same tasks. Independent testing puts the net cost increase at roughly 20% once token efficiency is factored in.


How to Use

  1. Write your prompt — describe the task, provide context, and specify desired output format.
  2. Submit — the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: openai/gpt-5.5


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="openai/gpt-5.5",
    messages=[{"role": "user", "content": "Hello!"}]
)

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

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "openai/gpt-5.5",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

What's New vs GPT-5.4

AspectGPT-5.4GPT-5.5
SWE-bench Verified~74%88.7%
MMLU91.1%92.4%
Hallucination ratebaseline−60%
Context window1.05M1.05M (922K input)
API input price$2.50/M$5.00/M
API output price$15.00/M$30.00/M
Computer useImprovingProduction-grade
Multi-step tool chainsSingle-shot preferredFull autonomous loops
Token efficiencybaseline~40% fewer tokens on same tasks

Información

Proveedoropenai
Tipollm

Funcionalidades compatibles

Entrada
TextoImagen
Salida
Texto
Contexto1,050,000
Salida máxima128,000
Visión✓ Compatible
Function Calling✓ Compatible

Guía de acceso a la API

Base URLhttps://llm.wavespeed.ai/v1
API Endpointchat/completions
ID del modeloopenai/gpt-5.5

GPT 5.5 API

openai/gpt-5.5

GPT-5.5 is OpenAI's frontier model released April 23, 2026, featuring a 1M+ token context window (922K input, 128K output) with text and image support. It scores 88.7% on SWE-bench Verified and 92.4% on MMLU with 60% fewer hallucinations than GPT-5.4, excelling at agentic coding, computer use, and deep research while matching GPT-5.4 per-token latency.

Entrada

$5 /M

Salida

$30 /M

Contexto

1050K

Salida máx.

128K

Visión

Compatible

Uso de herramientas

Compatible

Prueba GPT 5.5 en WaveSpeedAI

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Preguntas frecuentes sobre GPT 5.5

¿Cuánto cuesta GPT 5.5 a través de la API?+

Precios en WaveSpeedAI: $5.00 por millón de tokens de entrada y $30.00 por millón de tokens de salida. El prompt caching y el procesamiento por lotes se facturan por separado y reducen el coste efectivo en cargas largas y repetitivas.

¿Cuál es la ventana de contexto de GPT 5.5?+

GPT 5.5 admite hasta 1050K tokens de contexto y hasta 128K tokens de salida por solicitud.

¿Es GPT 5.5 compatible con OpenAI?+

Sí. WaveSpeedAI expone GPT 5.5 a través de un endpoint compatible con OpenAI en https://llm.wavespeed.ai/v1. Apunta el SDK oficial de OpenAI a esta base URL con tu clave API de WaveSpeedAI — sin más cambios de código.

¿Cómo empiezo con GPT 5.5?+

Inicia sesión en WaveSpeedAI, crea una clave API en Access Keys y envía una solicitud a https://llm.wavespeed.ai/v1/chat/completions con el id de modelo mostrado arriba. Las cuentas nuevas reciben créditos gratuitos para evaluar GPT 5.5 antes de pagar por token.

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