OpenAI will launch GPT-5.6, its most advanced AI model, on Thursday after a delay prompted by U.S. government concerns over the potential national security risks posed by increasingly powerful AI systems.
The release comes amid intensifying competition among AI developers who are racing to improve model performance, cut costs and expand capabilities for enterprise customers, fueling a wave of new systems and reasoning models across the industry.
Meanwhile, Chinese developers are reshaping the economics of AI by delivering increasingly capable models at a fraction of the cost.
Here's a look at some of the AI models on the market for consumers:
Here's a look at the AI models on the market for enterprises:
Company,Flagship model(s),API price,Includes OpenAI,GPT 5.5.,GPT-5.5 Pro and GPT-5.4 Pro, cost $30/$180 per million input/output tokens, offering advanced reasoning and a 272,000-token context window.,GPT-5.5 is for complex professional work, best suited to research, coding, document analysis and sophisticated workflows. Google,Gemini 3.5 Flash.,Gemini 3.5 Flash costs $1.50/$9 per million input/output tokens, with search, grounding, caching.,Useful for coding, agentic workflows, research and complex, multi-step tasks combining advanced reasoning with a 1‑million‑token context window. Anthropic,Claude Fable 5.,Claude Fable 5 costs $10/$50 per million input/output tokens, with a 1-million-token context window.,Built for long-running agents, complex reasoning, enterprise workflows and large-scale analysis for sophisticated, high-stakes tasks. xAI,Grok 4.3.,Grok 4.3 costs $1.25/$2.50 per million input/output tokens, with configurable reasoning capabilities.,Grok 4.3 excels in following instructions, agentic tool use and accuracy, making it well-suited to research, enterprise workflows and general-purpose applications. Meta,Llama 4 Scout and Maverick.,The model is open-weight and the API pricing depends on the hosting provider. Has a 10-million-token context window for Llama Scout.,Optimized for image and text understanding, delivering high intelligence, fast responses and cost-efficient performance for enterprise AI applications.
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