GPT-5.5 — Especificaciones
Compiled by Mustafa Ihsan from the vendor’s published documentation · Last updated
| Desarrollador | OpenAI |
|---|---|
| Tipo | LLM (razonamiento) |
| Modalidad | Texto y visión → texto |
| Parámetros | No revelado |
| Ventana de contexto | 1,05 millones |
| Salida máxima | 128 K |
| Licencia | Propietario |
| Pesos abiertos | No |
| Lanzado | 2026 |
| Precio de entrada | $5.00 /1M |
| Precio de salida | $30.00 /1M |
| Proveedores de API | OpenAI, Azure |
What is GPT-5.5?
GPT-5.5 is OpenAI’s flagship, covering frontier reasoning across coding, writing, research
and multimodal tasks with a context window of roughly 1.05M tokens. Pricing is $5 in / $30
out per million tokens, and a GPT-5.5 Pro tier exists for the highest-stakes reasoning.
Two pricing details shape how it should be used. First, prompts above 272K input tokens
are billed at a higher rate, so the effective cost of a long-context feature is not the
headline number — budget the premium explicitly or keep prompts under the threshold with
tighter retrieval. Second, the 6× output-to-input ratio is one of the steepest in the
frontier bracket: at $30 per million output tokens, generation-heavy workloads such as long
report writing or verbose agent traces cost far more than prompt-heavy ones like retrieval
and classification. Teams that instrument their token mix usually find output is where the
bill actually lives, and that trimming verbosity, capping max_tokens and moving first drafts
to a cheaper model saves more than any prompt-compression trick. Compare it directly against
Claude Opus 4.8, which charges $25 output with no long-context premium.
GPT-5.5 pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $5.00 |
|---|---|
| Salida (por cada millón de tokens) | $30.00 |
| Relación salida/entrada | 6× |
| Combinada (4:1 entrada:salida) | $10.00 por 1 millón de tokens |
What GPT-5.5 costs per month
Gasto mensual real con una mezcla entrada:salida de 4:1, es decir, la proporción que realmente genera una carga de trabajo típica de chat o RAG.
| Carga de trabajo | Tokens/mes | Coste mensual |
|---|---|---|
| Proyecto secundario | 1 millón de tokens de entrada / 0,25 millones de tokens de salida | $13 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $250 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $2,500 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to GPT-5.5
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Claude Opus 5 | $9.00 | 10 % más barato |
| Kimi K3 abierta | $5.40 | 46 % más barato |
| Claude Opus 4.8 | $9.00 | 10 % más barato |
Preguntas frecuentes
How much does GPT-5.5 cost per 1M tokens?
GPT-5.5 costs $5.00 per 1M input tokens and $30.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $10.00 per 1M tokens.
How much does GPT-5.5 cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $250 on GPT-5.5. A side project (1M in / 0.25M out) costs roughly $12.50.
What is a cheaper alternative to GPT-5.5?
Claude Opus 5 is the strongest cheaper option in our database at $9.00 per 1M blended — about 10% less than GPT-5.5.
Can I run GPT-5.5 locally?
No. GPT-5.5 is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does GPT-5.5 charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. GPT-5.5 charges 6× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
Los precios corresponden a las tarifas oficiales publicadas para la API principal del modelo y se revisan periódicamente conforme los proveedores los actualicen. No incluyen descuentos por volumen, procesamiento por lotes ni entradas en caché. Compare todos los modelos uno al lado del otro en la Base de datos de modelos de IA o el Clasificación de modelos de lenguaje grande (LLM).