Inkling vs. GPT-5.4 Pro

Inkling is an open-weights multimodal AI model from Thinking Machines built to support customization, agentic workflows, coding, reasoning, vision, audio, and enterprise AI use cases. The model is a Mixture-of-Experts transformer with 975 billion total parameters, 41 billion active parameters, 256 routed experts per MoE layer, and six routed experts active per token. It supports context windows up to 1 million tokens and was pretrained on 45 trillion tokens across text, images, audio, and video. Inkling is designed as a broad foundation model rather than a narrowly optimized benchmark model, giving it balanced capabilities across reasoning, coding, factuality, instruction following, vision, audio, tool use, and safety. Its controllable thinking effort lets developers adjust how much computation and generated reasoning the model uses, helping teams balance quality, latency, and cost for different production needs. The model can run agentic coding tasks, use tools, create web apps, generate polished multi-page artifacts, reason over long contexts, and work through iterative refinement loops. For multimodal tasks, Inkling can process images, answer questions about visual content, transcribe and reason over audio, follow spoken instructions, and combine visual reasoning with code-based tools such as Python. Thinking Machines trained Inkling for calibration, instruction following, factual reliability, refusal behavior, and safety across multiple modalities, including evaluations for dangerous capabilities and human-AI threat vectors. Inkling is available on Tinker for fine-tuning, with 64K and 256K context options, an Inkling Playground for testing, cookbook recipes, and support for multimodal post-training workflows. Its full weights are available on Hugging Face, and deployment support is available through APIs and infrastructure partners such as TogetherAI, Fireworks, Modal, Databricks, Baseten, SGLang, vLLM, llama.cpp, and transformers.

GPT-5.4 Pro is OpenAI’s most advanced frontier AI model designed for complex professional tasks and high-performance workflows. It combines breakthroughs in reasoning, coding, and AI agent capabilities to create a powerful system for knowledge work and software development. The model is capable of generating spreadsheets, presentations, documents, and other professional deliverables with improved accuracy and structure. GPT-5.4 Pro also introduces native computer-use capabilities, allowing AI agents to interact with applications, browsers, and operating systems. This enables the model to automate multi-step workflows such as data entry, research, and system navigation. With a context window of up to one million tokens, GPT-5.4 Pro can process large datasets and long conversations while maintaining coherence. The model also includes improved tool usage features that allow it to discover and use external tools more efficiently. Enhanced web search capabilities allow it to gather and synthesize information from multiple sources for complex research tasks. GPT-5.4 Pro builds on the coding strengths of previous Codex models while improving performance on real-world development tasks. It also reduces token consumption during reasoning, resulting in faster responses and improved cost efficiency. These advancements make it well suited for developers building AI agents or automation systems. By combining advanced reasoning, computer interaction, and scalable tool usage, GPT-5.4 Pro enables organizations and professionals to automate complex digital workflows.