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OpenAI lanza GPT-6.1 Sol con costos más bajos y puntos de referencia mejorados

OpenAI ha presentado GPT-6.1 Sol, un modelo más económico que se acerca al rendimiento de GPT-6 Astra, disponible para niveles de usuarios específicos y a través de API.

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Source-provided image accompanying OpenAI launches GPT-6.1 Sol with lower costs and improved benchmarks
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iphoneincanada.cahttps://www.iphoneincanada.ca/2026/09/29/openai-launches-cheaper-ai-model-that-nearly-matches-its-best/
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Términos clave

API (interfaz de programación de aplicaciones)
Una forma estructurada para que un sistema de software envíe solicitudes y reciba respuestas de otro sistema.
Punto de referencia
Una prueba o conjunto de datos estandarizado que se utiliza para medir y comparar el rendimiento del modelo.
ficha
Un fragmento de texto procesado por modelos de lenguaje, como una palabra o un símbolo.
Ponte a pruebaModelos de IA explicados cuestionario

que paso

OpenAI lanzó GPT-6.1 Sol, un nuevo modelo de IA posicionado como una alternativa rentable a su buque insignia GPT-6 Astra. El modelo está disponible para usuarios Plus, Pro, Business, Enterprise y Edu a través de ChatGPT Work y Codex, así como a través de la API OpenAI. OpenAI informa que GPT-6.1 Sol cuesta aproximadamente una quinta parte de Astra e iguala o supera el rendimiento en varios puntos de referencia clave, incluida la ingeniería de software y las tareas de uso de computadoras.

OpenAI has introduced GPT-6.1 Sol, a new model designed to offer performance close to its more powerful GPT-6 Astra at a significantly lower cost. According to the report, the model improves on the previous GPT-6 Sol in coding, computer use, and professional work tasks. The pricing structure is a key differentiator, with OpenAI stating that GPT-6.1 Sol costs roughly one-fifth as much as Astra based on standard API input and output prices.

Specific pricing details provided by OpenAI include $2 USD per million input tokens, $0.10 USD per million cached input tokens, and $10 USD per million output tokens. The company notes that cached inputs are 95 percent cheaper than regular inputs and half the cost of cached inputs for the previous GPT-6 Sol model. This pricing strategy aims to make advanced AI capabilities more accessible to developers and businesses with varying budgets.

results published by OpenAI show GPT-6.1 Sol matching GPT-6 Astra on DeepSWE v1.1, a software engineering benchmark, while scoring 6.4 percentage points higher than GPT-6 Sol. In professional PDF tasks measured by GDP.pdf, the new model outperformed Opus 5.5 with fallbacks at less than half the cost per task. On AutomationBench, GPT-6.1 Sol finished 2.2 percentage points ahead of Opus 5.5 at roughly one-third of the cost.

The model also shows improvements in computer use and factual accuracy. GPT-6.1 Sol scored seven percentage points higher than GPT-6 Sol on OSWorld 2.0 and came within 2.1 points of GPT-6 Astra. On Terminal-Bench Science, it more than doubled the score of GPT-6 Sol. Additionally, the rate of factual errors decreased from 11.4 percent in GPT-6 Sol to 7.7 percent in GPT-6.1 Sol at low reasoning effort.

Availability is currently limited to Plus, Pro, Business, Enterprise, and Edu users through ChatGPT Work and Codex, with API access under the name gpt-6.1-sol. It is not yet available in regular ChatGPT conversations. OpenAI also announced that a GPT-6.1 Sol Ultrafast version is coming to Codex in the next few days, offering up to eight times faster generation.

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Por qué es importante

El lanzamiento de GPT-6.1 Sol representa un cambio significativo en el mercado de la IA al ofrecer un rendimiento casi emblemático a un precio sustancialmente más bajo. Al reducir el costo por y por tarea, OpenAI hace que las capacidades avanzadas de IA sean más accesibles para una gama más amplia de desarrolladores y empresas. Este movimiento intensifica la competencia en el mercado de modelos de IA, lo que podría obligar a otros proveedores a ajustar sus estrategias de precios o mejorar sus modelos de nivel medio para seguir siendo competitivos. Para los usuarios, esto significa un acceso más asequible a la IA de alto rendimiento para codificación, automatización y tareas profesionales.

The launch of GPT-6.1 Sol is significant because it bridges the gap between high-performance flagship models and cost-effective mid-tier options. By offering near-Astra performance at a fraction of the cost, OpenAI is likely to drive adoption among developers and enterprises who previously found flagship models too expensive for routine use.

This move has practical implications for AI integration in business workflows. The reduced cost per task, particularly in automation and coding, makes it feasible for smaller organizations to implement advanced AI solutions. The improvement in factual accuracy and computer use capabilities further enhances the model's utility for professional applications.

The competitive landscape is also affected. With GPT-6.1 Sol outperforming or matching competitors like Opus 5.5 on key benchmarks at lower costs, other AI providers may need to reassess their pricing and product strategies. This could lead to a broader trend of cost reduction and performance improvement across the AI industry.

Interactive Mechanism

Mecanismo interactivo: cómo funciona realmente

Explore la tecnología subyacente detrás de este desarrollo de forma interactiva.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
Verificación interactiva del concepto+10 Points
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Qué ver a continuación

Monitor the performance of GPT-6.1 Sol in real-world applications compared to its claims. Watch for the release of the GPT-6.1 Sol Ultrafast version in Codex, which promises faster generation. Additionally, observe how competitors like Anthropic and Google respond to this pricing and performance shift in the mid-to-high tier AI model market.

The real-world performance of GPT-6.1 Sol in diverse applications will be a key indicator of its success. While results are promising, actual user experiences and feedback will provide a more comprehensive picture of the model's capabilities and limitations.

The upcoming release of the GPT-6.1 Sol Ultrafast version in Codex is worth monitoring. Faster generation could further enhance the model's appeal for time-sensitive tasks and real-time applications, potentially setting a new standard for AI speed and efficiency.

Competitor responses to the launch of GPT-6.1 Sol will be crucial. Watch for announcements from Anthropic, Google, and other AI providers regarding new models or pricing adjustments that aim to counter OpenAI's latest offering. The market's reaction to this cost-performance shift will shape the future of AI model development and deployment.

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