GPT-6.1 Terra — Specifications
Compilado por Mustafa Ihsan de la documentación publicada por el proveedor · Última actualización
| Desarrollador | OpenAI |
|---|---|
| Tipo | Razonamiento / agente |
| Modalidad | Texto, visión |
| Parámetros | No revelado |
| Ventana de contexto | 1,05 millones |
| Salida máxima | 128 K |
| Licencia | Propietario |
| Pesos abiertos | No |
| Lanzado | 2026-10 |
| Precio de entrada | $1.00 /1M |
| Precio de salida | $5.00 /1M |
| Proveedores de API | OpenAI API, Microsoft Azure, AWS Bedrock |
Benchmarks
| OpenAI-reported | Terminal-Bench 4.0 50.3% at max reasoning effort (GPT-5.6 Terra: 21.5%). |
|---|
What is GPT-6.1 Terra?
GPT-6.1 Terra is OpenAI’s fast, efficient model for visual reasoning, precise computer use and clear, natural writing, released on 26 October 2026 and listed among the four flagship models on OpenAI’s API. Según OpenAI, it is a significant step up from GPT-5.6 Terra, and its standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol. The model page lists a 1,050,000-token context window, up to 922,000 input tokens, up to 128,000 output tokens, text and image input, a 1 June 2026 knowledge cutoff and reasoning effort from none to max (default medium).
Standard pricing is $1 per million input tokens, $0.05 for cached input and $5 per million output tokens. Prompts above 272K input tokens are billed for the full request at $2, $0.10 and $7.50. Batch and Flex cost half the Standard rates ($0.50 / $0.025 / $2.50, or $1 input and $3.75 output at long context), Fast mode costs double, and regional processing adds 10% where available (see la página de precios de OpenAI).
OpenAI made it available to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex; its release notes say it is not offered in Chat. Developers call it as gpt-6.1-terra in the OpenAI API, and Amazon Bedrock and Microsoft Foundry list it; Google Cloud access is a private preview that has to be requested. OpenAI says GPT-6.1 Sol ($2 / $10) and GPT-6 Astra remain the better choice for the most complex coding, while GPT-6 Luna is its most efficient model for high-volume tasks. Estimate a monthly bill with the Calculadora de costos de API de IA.
GPT-6.1 Terra pricing: API cost per 1M tokens
| Entrada (por cada millón de tokens) | $1.00 |
|---|---|
| Salida (por cada millón de tokens) | $5.00 |
| Relación salida/entrada | 5× |
| Combinada (4:1 entrada:salida) | $1.80 por 1 millón de tokens |
What GPT-6.1 Terra 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 | $2.25 |
| Pequeño equipo | 20 millones de tokens de entrada / 5 millones de tokens de salida | $45 |
| Producción | 200 millones de tokens de entrada / 50 millones de tokens de salida | $450 |
Calcule sus propios números en la Calculadora de costos de API de IA.
Cheaper alternatives to GPT-6.1 Terra
| Modelo | Dólares por millón combinados | Usted ahorra |
|---|---|---|
| Llama 3.1 8B abierta | $0.0240 | 99 % más barato |
| Mistral NeMo 12B abierta | $0.0292 | 98% cheaper |
| Gemma 3 4B abierta | $0.0600 | 97% más barato |
Preguntas frecuentes
How much does GPT-6.1 Terra cost per 1M tokens?
GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $1.80 per 1M tokens.
How much does GPT-6.1 Terra cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $45 on GPT-6.1 Terra. A side project (1M in / 0.25M out) costs roughly $2.25.
What is a cheaper alternative to GPT-6.1 Terra?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 99% less than GPT-6.1 Terra. It is also open-weight, so self-hosting is an option.
Can I run GPT-6.1 Terra locally?
No. GPT-6.1 Terra is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does GPT-6.1 Terra 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-6.1 Terra charges 5× 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).