DigitalOcean
OpenAI has launched GPT-5.4 mini and nano, two smaller models optimized for coding, subagents, and high-volume workloads at reduced cost.
Model details
GPT-5.4 nano serves as the most lightweight and efficient variant within the GPT-5.4 family, specifically engineered to address the latency challenges often encountered in complex, multi-step agentic architectures. By prioritizing responsiveness and operational speed, the model is designed to handle high-volume, repetitive tasks such as classification, ranking, and data extraction. Its architecture allows it to function effectively as an execution engine within distributed systems, where it can quickly process subtasks that would otherwise introduce significant delays if handled by larger, more resource-intensive models.
Built to integrate seamlessly into production pipelines, the model excels in scenarios where cost-efficiency and low-latency performance are critical requirements. It is particularly well-suited for real-time systems and background processing, providing a reliable foundation for developers who need to balance performance with scalability. By offloading specific execution steps to this optimized variant, teams can maintain the agility of their applications while ensuring that complex workflows remain responsive and cost-effective as they scale across diverse environments.
Transparent token rates
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
DigitalOcean
OpenAI has launched GPT-5.4 mini and nano, two smaller models optimized for coding, subagents, and high-volume workloads at reduced cost.
DigitalOcean
Tech News News: OpenAI has launched two new AI models — GPT-5.4 mini and GPT-5.4 nano — aimed at delivering faster performance and lower costs for high-volume workloa.
DigitalOcean
On March 17, 2026, OpenAI announced the release of ' GPT-5.4 mini ' and ' GPT-5.4 nano ,' lightweight versions of GPT-5.4, which debuted in March 2026. GPT-5.4 mini/nano are designed to be fast and efficient models that can handle high processing loads while inheriting many of the strengths of GPT-5.4. OpenAI introduce
DigitalOcean
The Roboflow Playground model page is a third-party listing that explicitly names OpenAI's GPT-5.4 Nano and provides verifiable model-level attributes: a release date of March 17, 2026, a 400,000-token context window, multimodal text-plus-image input with a text-first optimization, a proprietary license, a closed-weigh The same Roboflow page exposes an interactive playground with an Open Prompt interface and presets for OCR, captioning, classification, and object detection, and it lists GPT-5.4 Nano's supported vision tasks such as document question answering, chart QA, image tagging, and visual question answering, underscoring its r