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Context windows have expanded rapidly, but production deployment at enterprise scale faces latency, cost, and reliability barriers that benchmarks do not capture.
True if 3+ Fortune 500 companies publicly report using AI systems with 500K+ token context windows in production workflows. Public statements, case studies, or earnings call references qualify.
Gemini and Llama 4 already support 1M+ tokens technically
Enterprise document processing is a natural use case
RAG limitations pushing enterprises toward longer contexts
Latency and cost scale poorly with context length
Most enterprise workflows do not need million-token windows
Retrieval-augmented approaches are cheaper for most use cases