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  5. Context Window
Model Architecturesaka max sequence length

Context Window

The maximum sequence length a model architecture supports, ranging from 2K to 10M+ tokens in 2026.

Ask Melo about this← all terms

The context window is the maximum sequence length a model architecture supports, determined by positional encoding, attention mechanism, and memory constraints. In 2026, context windows range from 2K to 10M+ tokens. Extending context requires innovations in positional encoding (RoPE scaling), efficient attention (sliding window, Flash Attention), and memory management.

Related terms

Positional EncodingRotary Position EmbeddingSliding Window AttentionFlash AttentionSparse AttentionVision Transformer

Where Context Window comes up

  • Inkling Is Free on OpenRouter With a 1M Context Window — the Fine Print
  • Enable a 1M-Token Context Window in Codex CLI (GPT-5.6 Sol)
  • Agentic context design: how to engineer the context window for multi-turn AI systems in 2026
  • Claude Code Context Window: What Happens When You Hit the Limit (and How to Fix It)